{ "$schema": "../../schema/profile.schema.json", "meta": { "version": "1.0.0", "updated": "2026-03-27" }, "summary": { "name": "Nishant Tiwari", "title": "Solutions Architect, DevOps Engineer, AI/ML Consultant", "bio": "I started in embedded systems and cryptography research at the University of Sussex, then spent 8 years as Executive Director at Aim Global Solutions — building a team of 30 developers and delivering across finance, GIS, computer vision, e-commerce, and defence. Since 2019 I've gone deep as a hands-on architect and engineer: 638 hours building a Check Point-to-AWS firewall translation platform, 572 hours on an LLM-powered email system, real-time voice processing for Tomato AI, and RAG workflow engines. I hold 5 AWS certifications (including Solutions Architect Professional and DevOps Engineer Professional), CKAD, and PMP. $100K+ earned on Upwork with 100% Job Success and Top Rated Plus status.", "location": "India", "avatar": "../../src/assets/hero-img.png", "social_links": [ { "platform": "LinkedIn", "url": "https://www.linkedin.com/in/nishanttiwari" }, { "platform": "GitHub", "url": "https://github.com/nt1412" }, { "platform": "YouTube", "url": "https://www.youtube.com/@nt1412" }, { "platform": "Twitter", "url": "https://twitter.com/nishanttiwari" } ] }, "availability": { "status": "available", "open_to": [ "fulltime", "contract", "freelance" ], "rate": 80, "currency": "USD", "preferred_engagement": "Long-term contracts or full-time with enterprise clients", "timezone": "Asia/Kolkata", "notice_period": "immediate", "remote_preference": "remote_only" }, "preferences": { "want": [ "Larger projects with critical decisions at scale", "Process-driven institutions", "Enterprise-grade infrastructure", "AI/ML integration work", "Architecture ownership" ], "avoid": [ "Pure frontend roles", "Junior-level scope", "Agencies with quick-turnaround micro-projects", "Roles without technical decision-making authority" ], "industries": [ "Enterprise SaaS", "FinTech", "Cloud Infrastructure", "AI/ML", "DevOps" ], "values": [ "Technical excellence", "Autonomy", "Impact at scale" ] }, "skills": [ { "name": "AWS", "category": "Cloud", "proficiency": 5, "years": 8, "last_used": "2026", "project_count": 10 }, { "name": "Python", "category": "Programming", "proficiency": 5, "years": 10, "last_used": "2026", "project_count": 16 }, { "name": "Terraform", "category": "Infrastructure", "proficiency": 4, "years": 5, "last_used": "2026", "project_count": 3 }, { "name": "Docker", "category": "DevOps", "proficiency": 4, "years": 5, "last_used": "2026", "project_count": 10 }, { "name": "Kubernetes", "category": "DevOps", "proficiency": 4, "years": 3, "last_used": "2026", "project_count": 0 }, { "name": "CI/CD", "category": "DevOps", "proficiency": 4, "years": 6, "last_used": "2026", "project_count": 0 }, { "name": "React", "category": "Programming", "proficiency": 3, "years": 4, "last_used": "2026", "project_count": 4 }, { "name": "Node.js", "category": "Programming", "proficiency": 3, "years": 4, "last_used": "2026", "project_count": 12 }, { "name": "GCP", "category": "Cloud", "proficiency": 3, "years": 3, "last_used": "2025", "project_count": 1 }, { "name": "Solution Architecture", "category": "Management", "proficiency": 5, "years": 12, "last_used": "2026", "project_count": 0 }, { "name": "AI/ML", "category": "AI/ML", "proficiency": 4, "years": 3, "last_used": "2026", "project_count": 0 }, { "name": "LLMs / OpenAI / Anthropic", "category": "AI/ML", "proficiency": 4, "years": 3, "last_used": "2026", "project_count": 0 }, { "name": "Serverless", "category": "Cloud", "proficiency": 4, "years": 5, "last_used": "2026", "project_count": 0 }, { "name": "DynamoDB", "category": "Data", "proficiency": 4, "years": 5, "last_used": "2026", "project_count": 4 }, { "name": "Boto3", "category": "Cloud", "proficiency": 5, "years": 6, "last_used": "2026", "project_count": 3 }, { "name": "Lambda", "category": "Cloud", "proficiency": 4, "years": 5, "last_used": "2026", "project_count": 2 }, { "name": "Ansible", "category": "DevOps", "proficiency": 3, "years": 4, "last_used": "2024", "project_count": 2 }, { "name": "SIP / VoIP", "category": "Infrastructure", "proficiency": 4, "years": 2, "last_used": "2023", "project_count": 0 }, { "name": "gRPC", "category": "Programming", "proficiency": 3, "years": 2, "last_used": "2023", "project_count": 1 }, { "name": "C++", "category": "Programming", "proficiency": 3, "years": 3, "last_used": "2023", "project_count": 1 }, { "name": "FreeSWITCH", "category": "Infrastructure", "proficiency": 4, "years": 1, "last_used": "2023", "project_count": 1 }, { "name": "Network Security", "category": "Security", "proficiency": 4, "years": 6, "last_used": "2026", "project_count": 0 }, { "name": "Embedded Systems", "category": "Infrastructure", "proficiency": 3, "years": 3, "last_used": "2008", "project_count": 0 }, { "name": "Project Management", "category": "Management", "proficiency": 5, "years": 12, "last_used": "2026", "project_count": 0 }, { "name": "WordPress", "category": "Programming", "proficiency": 3, "years": 5, "last_used": "2025", "project_count": 3 }, { "name": "WooCommerce", "category": "Programming", "proficiency": 3, "years": 4, "last_used": "2025", "project_count": 2 }, { "name": "AWS CDK", "category": "Infrastructure", "proficiency": 3, "years": 3, "last_used": "2024", "project_count": 0 }, { "name": "AWS Amplify", "category": "Cloud", "proficiency": 3, "years": 4, "last_used": "2025", "project_count": 3 }, { "name": "Vector Embeddings", "category": "AI/ML", "proficiency": 3, "years": 2, "last_used": "2025", "project_count": 0 }, { "name": "MySQL", "category": "Data", "proficiency": 3, "years": 6, "last_used": "2025", "project_count": 1 }, { "name": "NVIDIA Triton", "category": "AI/ML", "proficiency": 3, "years": 1, "last_used": "2023", "project_count": 0 }, { "name": "Linux", "category": "Infrastructure", "proficiency": 5, "years": 20, "last_used": "2026", "project_count": 2 }, { "name": "AI Agent Frameworks", "category": "AI/ML", "proficiency": 5, "years": 2, "last_used": "2026", "project_count": 2 }, { "name": "Browser Automation", "category": "DevOps", "proficiency": 4, "years": 3, "last_used": "2026", "project_count": 1 }, { "name": "Shell Scripting", "category": "DevOps", "proficiency": 5, "years": 15, "last_used": "2026", "project_count": 2 }, { "name": "Virtual Machines", "category": "Infrastructure", "proficiency": 4, "years": 10, "last_used": "2026", "project_count": 0 }, { "name": "Playwright", "category": "DevOps", "proficiency": 4, "years": 2, "last_used": "2026", "project_count": 1 }, { "name": "SQLite", "category": "Data", "proficiency": 4, "years": 5, "last_used": "2026", "project_count": 1 }, { "name": "MCP (Model Context Protocol)", "category": "AI/ML", "proficiency": 4, "years": 1, "last_used": "2026", "project_count": 0 }, { "name": "Prompt Engineering", "category": "AI/ML", "proficiency": 5, "years": 3, "last_used": "2026", "project_count": 0 }, { "name": "Penetration Testing", "category": "Security", "proficiency": 4, "years": 5, "last_used": "2025", "project_count": 0 }, { "name": "OpenClaw", "category": "AI/ML", "proficiency": 5, "years": 2, "last_used": "2026", "project_count": 2 }, { "name": "VPS Deployment", "category": "Infrastructure", "proficiency": 4, "years": 10, "last_used": "2026", "project_count": 1 }, { "name": "Google Workspace", "category": "Productivity", "proficiency": 4, "years": 10, "last_used": "2026", "project_count": 0 }, { "name": "DevOps", "category": "DevOps", "proficiency": 5, "years": 8, "last_used": "2026", "project_count": 0 }, { "name": "Observability", "category": "DevOps", "proficiency": 4, "years": 5, "last_used": "2026", "project_count": 0 }, { "name": "API Design", "category": "Programming", "proficiency": 4, "years": 8, "last_used": "2026", "project_count": 0 }, { "name": "Stakeholder Management", "category": "Management", "proficiency": 5, "years": 12, "last_used": "2026", "project_count": 0 }, { "name": "Documentation", "category": "Management", "proficiency": 4, "years": 10, "last_used": "2026", "project_count": 0 } ], "projects": [ { "id": "26", "title": "AgentOne — SAP B1 AI Automation Platform", "description": "A multi-tenant SaaS platform (sapb1.ai) that connects on-prem SAP Business One to cloud AI agents. A Go headless agent bridges the customer's SAP B1 (HANA / SQL Server) to a broker and connectors; a Python configurator self-provisions each tenant on GCP Cloud Run — Cloud SQL, buckets, schema bootstrap, and a per-tenant MCP server. ~22 microservices span an agent registry, downloadable connectors, Stripe billing, and MS Teams / WhatsApp integrations.", "date_start": "2026", "date_end": null, "hours": null, "client": null, "tech_stack": [ "Python", "Go", "Next.js", "GCP Cloud Run", "Cloud SQL", "Docker", "Stripe", "MCP", "SAP B1" ], "stack_icons": [ { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "GCP", "icon": "../../src/assets/live-stacks/gcloud.png" }, { "name": "Docker", "icon": "../../src/assets/live-stacks/docker.png" }, { "name": "Node.js", "icon": "../../src/assets/live-stacks/nodejs.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" } ], "outcomes": [ "Self-service tenant provisioning on GCP Cloud Run (Cloud SQL, buckets, schema bootstrap, per-tenant MCP server)", "Go headless agent bridges on-prem SAP B1 (HANA / SQL Server) to the cloud via a broker", "~22 microservices: configurator, broker, connectors, agent registry, integrations", "Stripe billing (subscriptions, usage, promo codes) plus MS Teams and WhatsApp integrations" ], "tags": [ "ai", "saas", "sap", "automation", "gcp", "multi-tenant" ], "links": [ { "label": "Live", "url": "https://sapb1.ai" } ], "featured": true, "image": "../../src/assets/live-projects/agentone.png", "experience_id": null }, { "id": "22", "title": "nishant-profile-mcp — AI-Readable Résumé MCP Server", "description": "An MCP (Model Context Protocol) server that exposes my professional profile — skills, projects, certifications, and experience — directly to AI recruitment agents. Ships a local-embedding semantic matcher and a 5-dimension match_role engine that scores any job description against my profile and returns a hire signal. 8 tools over stdio, fully offline (runs MiniLM embeddings locally, no API key).", "date_start": "2026", "date_end": null, "hours": null, "client": null, "tech_stack": [ "TypeScript", "Node.js", "MCP", "Embeddings", "LLM" ], "stack_icons": [ { "name": "Node.js", "icon": "../../src/assets/live-stacks/nodejs.png" }, { "name": "LLM", "icon": "../../src/assets/live-stacks/llm.png" }, { "name": "Embeddings", "icon": "../../src/assets/live-stacks/embeddings.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" } ], "outcomes": [ "8 MCP tools (get_profile, search_projects, match_role, and more)", "Local MiniLM-L6 semantic matching — fully offline, no API key", "5-dimension job-fit scoring with an explicit hire signal" ], "tags": [ "ai", "mcp", "typescript", "embeddings" ], "links": [ { "label": "Live", "url": "https://nishanttiwari.com/for-ai" } ], "featured": true, "image": "../../src/assets/live-projects/profile-mcp.png", "experience_id": null }, { "id": "23", "title": "Yukt Capital — Invoice-Discounting Marketplace + MCP Server", "description": "Yukt Capital (yuktcapital.com) is a TReDS-style invoice-discounting marketplace where suppliers raise invoices on corporate buyers and investors finance them early at a fair discount. I built a companion MCP server (17 tools) that lets any MCP host — Claude Desktop, Claude Code, Gemini CLI — log in and run the full workflow in natural language: browse the marketplace, fund or bid on invoices, raise invoices, run reverse-factoring programs, and trade on the secondary market.", "date_start": "2026", "date_end": null, "hours": null, "client": null, "tech_stack": [ "Next.js", "TypeScript", "Prisma", "PostgreSQL", "MCP", "Node.js" ], "stack_icons": [ { "name": "Node.js", "icon": "../../src/assets/live-stacks/nodejs.png" }, { "name": "Fintech", "icon": "../../src/assets/live-stacks/fintech.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" } ], "outcomes": [ "Live marketplace on AWS Amplify + Neon serverless Postgres", "17-tool MCP server over stdio and streamable HTTP", "Shared invoice state machine across the web UI and MCP via one signed-JWT session" ], "tags": [ "fintech", "mcp", "marketplace", "nextjs" ], "links": [ { "label": "Live", "url": "https://www.yuktcapital.com" } ], "featured": true, "image": "../../src/assets/live-projects/yukt-capital.png", "experience_id": null }, { "id": "24", "title": "AQA — System of Record for Agentic Verification", "description": "A TestLink-style test-management and verification-memory platform built for the agentic coding loop, exposed over MCP (43 tools). It tracks plans, cases, dependencies, run history, and requirements-to-test traceability, with a claim/verify protocol (doer ≠ checker) and semantic regression memory: a failed run's root-cause reasoning is stored and recalled when a similar failure recurs, so agents get the prior diagnosis instead of re-deriving it. One service layer, surfaced three ways — REST API, MCP server, and CLI.", "date_start": "2026", "date_end": null, "hours": null, "client": null, "tech_stack": [ "Python", "FastAPI", "FastMCP", "PostgreSQL", "pgvector", "MCP" ], "stack_icons": [ { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" }, { "name": "Embeddings", "icon": "../../src/assets/live-stacks/embeddings.png" } ], "outcomes": [ "43 MCP tools spanning authoring, planning, execution, builds/CI, and failure memory", "Semantic failure search via pgvector + local MiniLM embeddings", "Cascade-blocking merge gate that kills false-green CI" ], "tags": [ "ai", "mcp", "testing", "devtools" ], "links": [ { "label": "GitHub", "url": "https://github.com/nt1412/aqa" } ], "featured": true, "image": "../../src/assets/live-projects/aqa.png", "experience_id": null }, { "id": "25", "title": "l33tpwn — Cloud Pentest Training Platform (2025 Overhaul)", "description": "A ground-up rebuild of l33tPWN into a hosted, browser-based cybersecurity training platform (l33tpwn.com), in the style of HackTheBox / TryHackMe. Each student gets a private AWS lab — a Kali attack box, an optional Kali Purple blue-team/SOC box (Suricata IPS + Wazuh), and on-demand vulnerable target VMs from a 48-target catalog — all running in the browser via noVNC in ~90s. Added a leet/l33tpwn CLI (~30 verbs across student and operator faces), keyless shell access via AWS SSM Session Manager, guided walkthroughs, and EventBridge-driven idle teardown.", "date_start": "2025", "date_end": null, "hours": null, "client": null, "tech_stack": [ "Python", "AWS Lambda", "DynamoDB", "EC2 / SSM", "Terraform", "Cognito", "CloudFront" ], "stack_icons": [ { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "Lambda", "icon": "../../src/assets/live-stacks/lambda.png" }, { "name": "DynamoDB", "icon": "../../src/assets/live-stacks/dynamodb.png" }, { "name": "CloudFront", "icon": "../../src/assets/live-stacks/cloudfront.png" }, { "name": "Terraform", "icon": "../../src/assets/live-stacks/terraform.png" } ], "outcomes": [ "Per-student isolated AWS labs (Kali + Kali Purple + 48 targets) in-browser via noVNC", "leet CLI with ~30 verbs across a student face and an operator (ops) face", "Keyless shell via AWS SSM Session Manager; SOC/IPS via Kali Purple (Suricata + Wazuh)", "Validated 48/48 target start+stop lifecycle sweep" ], "tags": [ "security", "cloud", "aws", "training" ], "links": [ { "label": "Live", "url": "https://l33tpwn.com" } ], "featured": true, "image": "../../src/assets/live-projects/l33tpwn-modern.png", "experience_id": null }, { "id": "21", "title": "OpenClaw AI — Dream Server Open Source Contribution", "description": "Contributed to Dream Server, an open source self-hosted AI platform ('the Linux of Local AI'). Implemented OpenClaw-to-Open-WebUI integration: built HTTP API shim, LLM provider patching (OLLAMA_URL/LITELLM_KEY), Docker Compose overlay for service orchestration, and configuration layer for connecting OpenClaw's agent framework to Open WebUI's chat interface. PR accepted and personally integrated by the project maintainer into the Lemonade release branch.", "date_start": "2026", "date_end": null, "hours": 40, "client": "Light-Heart-Labs (Open Source)", "tech_stack": [ "OpenClaw", "Docker", "Python", "Linux", "AI Agent Frameworks", "Shell Scripting", "Node.js" ], "stack_icons": [ { "name": "Docker", "icon": "../../src/assets/live-stacks/docker.png" }, { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" } ], "outcomes": [ "PR #438 accepted and integrated by project maintainer", "Implemented 3-part OpenClaw-to-Open-WebUI bridge (HTTP API, provider patching, Docker overlay)", "Contributed to open source project positioning itself as 'the Linux of Local AI'" ], "tags": [ "open-source", "ai-ml", "docker", "agent-frameworks", "infrastructure" ], "links": [ { "label": "GitHub PR", "url": "https://github.com/Light-Heart-Labs/DreamServer/pull/438" } ], "featured": true, "image": "../../src/assets/live-projects/upwork-deploy.png", "experience_id": "9" }, { "id": "20", "title": "Autonomous AI Sales Pipeline — SAP B1 Lead Generation", "description": "Built a fully autonomous multi-agent AI sales pipeline using OpenClaw on GCP. 6-agent team: Scout (lead scraping from partner case studies), Qualifier (composite scoring with identity/event/contact dimensions), Verifier (SAP B1 confirmation), Enricher (contact discovery via Apollo/Hunter/theHarvester/Perplexica cascade), Signal Hunter 'Pulse' (intent-based scoring using Gemini/Groq for hiring/funding/complaint/migration signals), and Closer (email generation). Custom pipeline database with SQLite, real-time dashboard on port 3000, WhatsApp gateway integration, automated signal sweeps on cron. Built from scratch in 3 weeks.", "date_start": "2026", "date_end": null, "hours": 200, "client": "Internal Project", "tech_stack": [ "OpenClaw", "Python", "Docker", "Linux", "AI Agent Frameworks", "GCP", "SQLite", "Shell Scripting", "Browser Automation", "Playwright", "Node.js", "VPS Deployment" ], "stack_icons": [ { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "Docker", "icon": "../../src/assets/live-stacks/docker.png" }, { "name": "GCP", "icon": "../../src/assets/live-stacks/gcp.png" } ], "outcomes": [ "1,084 total leads scraped and classified autonomously", "644 client-track leads with avg score 7.8/10", "569 leads fully researched by AI agents", "75 leads verified as confirmed SAP B1 users", "Multi-agent orchestration: 6 specialized agents running on cron schedules", "Intent signal detection: hiring, funding, complaint, and migration signals from live web data", "Composite scoring combining static profile data with live behavioral signals", "Zero manual intervention after initial setup" ], "tags": [ "ai-ml", "agent-frameworks", "automation", "sales-pipeline", "gcp", "infrastructure" ], "links": [], "featured": true, "image": "../../src/assets/live-projects/upwork-deploy.png", "experience_id": "9" }, { "id": "19", "title": "Check Point Cloud Firewall Manager", "description": "Built a comprehensive cloud firewall management platform bridging Check Point and AWS. Created a custom SDK surpassing Check Point's own, enabling programmatic rule management across Security Groups, NACLs, Network Firewall (stateless and stateful/Suricata), and Web ACLs. Automated network feed ingestion into AWS prefix lists. Built pipeline to pull rules from Check Point, translate to intermediate format, and deploy to AWS Network Firewall with named rules and variable mapping. Deployed on GCP CloudRun with automated triggers. Set up Headscale/Tailscale VPN mesh across AWS regions for secure connectivity. 638+ hours of development.", "date_start": "2024", "date_end": null, "hours": 638, "client": null, "tech_stack": [ "Python", "AWS", "GCP CloudRun", "Docker", "Terraform", "Boto3" ], "stack_icons": [ { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "AWS", "icon": "../../src/assets/live-stacks/aws-s3.png" }, { "name": "GCP CloudRun", "icon": "../../src/assets/live-stacks/gcloud.png" }, { "name": "Docker", "icon": "../../src/assets/live-stacks/docker.png" }, { "name": "Terraform", "icon": "../../src/assets/live-stacks/terraform.png" }, { "name": "Boto3", "icon": "../../src/assets/live-stacks/boto3.png" } ], "outcomes": [ "Built custom SDK surpassing Check Point's own for programmatic firewall rule management", "Automated cross-platform rule translation from Check Point to AWS Network Firewall", "Deployed multi-region VPN mesh using Headscale/Tailscale for secure connectivity", "638+ hours of sustained engineering on a single enterprise platform" ], "tags": [ "cloud", "security", "automation", "devops", "multi-cloud" ], "links": [], "featured": true, "image": "../../src/assets/live-projects/upwork-deploy.png", "experience_id": "9" }, { "id": "18", "title": "Authenticated RDP/SSH Access POC", "description": "Proof of concept for authenticated access to AWS webservers via HTML-based RDP and SSH using Apache Guacamole. Evolved into the full Auth0 + GUAC fleet management system (52 hrs). Client review: 'Nishant is an amazing engineer! Even better than expected, both in quality and in time!'", "date_start": "2024", "date_end": "2024", "hours": 52, "client": null, "tech_stack": [ "AWS", "Python", "Docker", "API" ], "stack_icons": [ { "name": "AWS", "icon": "../../src/assets/live-stacks/aws-s3.png" }, { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "Docker", "icon": "../../src/assets/live-stacks/docker.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" } ], "outcomes": [ "Delivered browser-based RDP/SSH access POC using Apache Guacamole", "Evolved into full fleet management system with Auth0 integration" ], "tags": [ "cloud", "security", "devops" ], "links": [ { "label": "GitHub", "url": "https://nishanttiwari.com" } ], "featured": false, "image": "../../src/assets/live-projects/upwork-deploy.png", "experience_id": "9" }, { "id": "17", "title": "PowerPoint E-Commerce Store", "description": "Consultation and build of an e-commerce website for selling PowerPoint templates. Delivered across multiple phases including consultation, build, and final stage readiness. Client review: 'Nishat is highly recommended. His knowledge and skills are exemplary.'", "date_start": "2024", "date_end": "2024", "hours": null, "client": null, "tech_stack": [ "WordPress", "WooCommerce", "AWS" ], "stack_icons": [ { "name": "WordPress", "icon": "../../src/assets/live-stacks/wordpress.png" }, { "name": "WooCommerce", "icon": "../../src/assets/live-stacks/woocommerce.png" }, { "name": "AWS", "icon": "../../src/assets/live-stacks/aws-s3.png" } ], "outcomes": [ "Delivered end-to-end e-commerce site for digital product sales", "Multi-phase delivery with consultation through final readiness" ], "tags": [ "e-commerce", "web-development" ], "links": [ { "label": "GitHub", "url": "https://nishanttiwari.com" } ], "featured": false, "image": "../../src/assets/live-projects/upwork-deploy.png", "experience_id": "9" }, { "id": "16", "title": "Secure Fleet Access - Auth0 + Guacamole", "description": "Built a secure access management system for a fleet of AWS instances and databases using Apache Guacamole for browser-based remote access and boto3 for infrastructure orchestration. Gated all access through SASE architecture with Auth0 authentication, providing zero-trust SSH and RDP access to cloud resources without exposing them to the public internet. 52 hours of development. Client review: 'Nishant is an amazing engineer! Even better than expected, both in quality and in time!'", "date_start": "2024", "date_end": "2024", "hours": 52, "client": null, "tech_stack": [ "AWS", "Boto3", "Python", "Docker", "API" ], "stack_icons": [ { "name": "AWS", "icon": "../../src/assets/live-stacks/aws-s3.png" }, { "name": "Boto3", "icon": "../../src/assets/live-stacks/boto3.png" }, { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "Docker", "icon": "../../src/assets/live-stacks/docker.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" } ], "outcomes": [ "Implemented zero-trust access to cloud resources via SASE architecture", "Browser-based SSH/RDP without public internet exposure", "Auth0-gated fleet management across AWS instances and databases" ], "tags": [ "cloud", "security", "devops", "automation" ], "links": [ { "label": "GitHub", "url": "https://nishanttiwari.com" } ], "featured": false, "image": "../../src/assets/live-projects/upwork-deploy.png", "experience_id": "9" }, { "id": "15", "title": "Product Customizer - ColdFusion to FOSS Migration", "description": "Infrastructure rescue migrating a product customizer platform from end-of-life Adobe ColdFusion + MSSQL stack to a fully FOSS stack before ColdFusion's core support ended (Nov 2025). Migrated the application server from ColdFusion to Lucee, database from MSSQL to MySQL, containerized with Docker, and deployed on GCP. Preserved the product customizer's backend logic, ontology system, and WooCommerce integration throughout the migration.", "date_start": "2024", "date_end": "2025", "hours": null, "client": null, "tech_stack": [ "Docker", "Google Cloud", "WooCommerce", "MySQL", "API" ], "stack_icons": [ { "name": "Docker", "icon": "../../src/assets/live-stacks/docker.png" }, { "name": "Google Cloud", "icon": "../../src/assets/live-stacks/gcloud.png" }, { "name": "WooCommerce", "icon": "../../src/assets/live-stacks/woocommerce.png" }, { "name": "MySQL", "icon": "../../src/assets/live-stacks/api.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" } ], "outcomes": [ "Migrated legacy ColdFusion + MSSQL to fully open-source stack before EOL deadline", "Containerized application with Docker and deployed on GCP", "Preserved all business logic, ontology system, and WooCommerce integration" ], "tags": [ "cloud", "migration", "devops", "e-commerce" ], "links": [ { "label": "GitHub", "url": "https://nishanttiwari.com" } ], "featured": true, "image": "../../src/assets/live-projects/upwork-saphi.png", "experience_id": "9" }, { "id": "14", "title": "SAPHI - AI Agent Platform", "description": "Set up Google Cloud and OpenAI infrastructure for an AI Agent platform (SAPB1). Configured cloud-based inference pipelines, integrated OpenAI APIs with custom agent orchestration, and deployed the system on GCP for production use.", "date_start": "2024", "date_end": "2024", "hours": null, "client": null, "tech_stack": [ "Google Cloud", "OpenAI", "Python", "API" ], "stack_icons": [ { "name": "Google Cloud", "icon": "../../src/assets/live-stacks/gcloud.png" }, { "name": "OpenAI", "icon": "../../src/assets/live-stacks/openai.png" }, { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" } ], "outcomes": [ "Deployed AI agent orchestration system on GCP production infrastructure", "Integrated OpenAI APIs with custom inference pipelines", "Production-ready cloud infrastructure for AI agent platform" ], "tags": [ "ai-ml", "cloud", "automation" ], "links": [ { "label": "GitHub", "url": "https://nishanttiwari.com" } ], "featured": true, "image": "../../src/assets/live-projects/upwork-saphi.png", "experience_id": "9" }, { "id": "13", "title": "Multi-Tenant Deployment System", "description": "Redesigned a deployment system to add monitoring, automated rollback, and multi-tenant isolation. Built observability dashboards, implemented blue-green deployment strategies, and created tenant-scoped resource management on AWS.", "date_start": "2024", "date_end": "2024", "hours": null, "client": null, "tech_stack": [ "AWS", "Docker", "Ansible", "CDK" ], "stack_icons": [ { "name": "AWS", "icon": "../../src/assets/live-stacks/aws-s3.png" }, { "name": "Docker", "icon": "../../src/assets/live-stacks/docker.png" }, { "name": "Ansible", "icon": "../../src/assets/live-stacks/ansible.png" }, { "name": "CDK", "icon": "../../src/assets/live-stacks/cdk.png" } ], "outcomes": [ "Implemented blue-green deployment with automated rollback", "Built observability dashboards for multi-tenant monitoring", "Designed tenant-scoped resource isolation on AWS" ], "tags": [ "cloud", "devops", "automation" ], "links": [ { "label": "GitHub", "url": "https://nishanttiwari.com" } ], "featured": true, "image": "../../src/assets/live-projects/upwork-deploy.png", "experience_id": "9" }, { "id": "12", "title": "LLM Email Interface", "description": "Built an email-based interface for LLM interaction using AWS SES for email receiving, OpenAI Assistants API for conversation management, DynamoDB for state, and S3 for attachment storage. Implemented CloudWatch logging, CloudConvert for file processing, thread management for multi-turn conversations, and an AWS Amplify frontend with social login and custom prompt templates. 572 hours of development, $34,340 project value.", "date_start": "2024", "date_end": "2025", "hours": 572, "client": null, "tech_stack": [ "LLM", "OpenAI", "Python", "DynamoDB", "AWS S3", "AWS Amplify", "Lambda" ], "stack_icons": [ { "name": "LLM", "icon": "../../src/assets/live-stacks/llm.png" }, { "name": "OpenAI", "icon": "../../src/assets/live-stacks/openai.png" }, { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "DynamoDB", "icon": "../../src/assets/live-stacks/dynamodb.png" }, { "name": "AWS S3", "icon": "../../src/assets/live-stacks/aws-s3.png" }, { "name": "AWS Amplify", "icon": "../../src/assets/live-stacks/aws-amplify.png" }, { "name": "Lambda", "icon": "../../src/assets/live-stacks/lambda.png" } ], "outcomes": [ "572 hours of development, $34,340 project value", "Multi-turn conversation management via email with OpenAI Assistants API", "Full-stack serverless architecture with SES, Lambda, DynamoDB, S3, Amplify", "Social login frontend with custom prompt templates" ], "tags": [ "ai-ml", "cloud", "automation", "serverless" ], "links": [ { "label": "GitHub", "url": "https://nishanttiwari.com" } ], "featured": true, "image": "../../src/assets/live-projects/upwork-llm.png", "experience_id": "9" }, { "id": "11", "title": "Tomato AI - Real-Time Voice Accent Modification", "description": "Built the complete infrastructure for real-time voice accent modification on live SIP calls over 7 months. Created a custom FreeSWITCH plugin (mod_tomato) that intercepts the caller's audio stream, sends it to an ML inference model via bidirectional gRPC, and re-inserts the accent-modified audio back into the live call. Integrated NVIDIA Triton Inference Server via a C++ client for model serving. Built SIP proxy handling both signaling and media traffic, deployed Asterisk-based call center with multi-agent support, IVR menus, and inbound DID. Verified selective voice modification on incoming and outgoing call legs per agent. System accepted live calls from mobile phones on public networks. Produced full restoration documentation and AWS asset mapping at project closure.", "date_start": "2023-05", "date_end": "2023-12", "hours": null, "client": "Tomato AI", "tech_stack": [ "FreeSWITCH", "gRPC", "Triton", "C++", "SIP", "Asterisk", "AWS" ], "stack_icons": [ { "name": "FreeSWITCH", "icon": "../../src/assets/live-stacks/freeswitch.png" }, { "name": "gRPC", "icon": "../../src/assets/live-stacks/grpc.png" }, { "name": "Triton", "icon": "../../src/assets/live-stacks/triton.png" }, { "name": "C++", "icon": "../../src/assets/live-stacks/cpp.png" }, { "name": "SIP", "icon": "../../src/assets/live-stacks/sip.png" }, { "name": "Asterisk", "icon": "../../src/assets/live-stacks/asterisk.png" }, { "name": "AWS", "icon": "../../src/assets/live-stacks/aws-s3.png" } ], "outcomes": [ "Built custom FreeSWITCH plugin (mod_tomato) for real-time audio stream interception", "Integrated NVIDIA Triton Inference Server via C++ gRPC client", "Deployed full SIP proxy and Asterisk call center with multi-agent support", "Live calls from mobile phones on public networks with selective accent modification" ], "tags": [ "ai-ml", "infrastructure", "voip", "real-time" ], "links": [ { "label": "Live", "url": "https://tomato.ai" } ], "featured": false, "image": "../../src/assets/live-projects/tomato-ai.png", "experience_id": "8" }, { "id": "10", "title": "Private 4G Cellular IoT Network", "description": "Built a private 4G LTE network for off-grid locations using Meta/Facebook Magma as the core network, Radio Access Network (RAN) with COTS radios, and compatible SIM cards. Designed for deployment in mining sites, dams, and farming operations where no commercial cellular coverage exists. The private network serves as the backbone for IoT devices — sensors connect to this network and are monitored through a management interface. Also delivered an AWS IoT product line research report for connected vehicle fleet use cases.", "date_start": "2022", "date_end": "2023", "hours": null, "client": null, "tech_stack": [ "Magma", "4G LTE", "Python", "Docker", "AWS" ], "stack_icons": [ { "name": "Magma", "icon": "../../src/assets/live-stacks/mobile.png" }, { "name": "4G LTE", "icon": "../../src/assets/live-stacks/mobile.png" }, { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "Docker", "icon": "../../src/assets/live-stacks/docker.png" }, { "name": "AWS", "icon": "../../src/assets/live-stacks/aws-s3.png" } ], "outcomes": [ "Deployed private 4G LTE network for off-grid IoT using Meta Magma core", "Designed cellular backbone for mining, dam, and farming IoT deployments", "Delivered AWS IoT product line research for connected vehicle fleet use cases" ], "tags": [ "infrastructure", "iot", "cloud" ], "links": [ { "label": "GitHub", "url": "https://nishanttiwari.com" } ], "featured": false, "image": "../../src/assets/live-projects/upwork-deploy.png", "experience_id": "6" }, { "id": "9", "title": "CodelessGPT - AI Workflow Platform", "description": "Built a no-code AI workflow automation platform (codelessgpt.com). Users upload documents into a Library and Datasource system, compose reusable Prompt Templates, and wire together Actions (Gmail, API calls, web crawling, search) into automated Flows. The platform runs GPT-powered analysis pipelines over uploaded knowledge bases — e.g. resume screening against job descriptions, portfolio analysis, blood report analysis, pentest report review. Essentially a RAG-based workflow orchestration engine where non-technical users build and run AI-powered document processing pipelines without writing code.", "date_start": "2023", "date_end": "2024", "hours": null, "client": null, "tech_stack": [ "OpenAI", "React", "Node.js", "Python", "Embeddings", "API" ], "stack_icons": [ { "name": "OpenAI", "icon": "../../src/assets/live-stacks/openai.png" }, { "name": "React", "icon": "../../src/assets/live-stacks/react.png" }, { "name": "Node.js", "icon": "../../src/assets/live-stacks/nodejs.png" }, { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "Embeddings", "icon": "../../src/assets/live-stacks/embeddings.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" } ], "outcomes": [ "Built RAG-based workflow orchestration engine for non-technical users", "Integrated GPT-powered analysis across multiple document types", "Reusable prompt templates and automated multi-step flows (Gmail, API, web crawl)" ], "tags": [ "ai-ml", "automation", "web-development", "saas" ], "links": [ { "label": "Live", "url": "https://codelessgpt.com" } ], "featured": true, "image": "../../src/assets/live-projects/upwork-llm.png", "experience_id": null }, { "id": "8", "title": "Enterprise VPN and Network Security", "description": "Three related enterprise networking projects: MAC address management via VPN (84 hrs), VPN prototype on GCP, and Private EdgeVPN.io installation for secure peer-to-peer networking. Built secure network tunneling and enterprise network isolation solutions. Client review: 'Thinking outside the box, agile, and just absolutely the best freelancer. I wish I could hire him fulltime!!!'", "date_start": "2022", "date_end": "2023", "hours": 84, "client": null, "tech_stack": [ "Google Cloud", "AWS", "Python", "Docker" ], "stack_icons": [ { "name": "Google Cloud", "icon": "../../src/assets/live-stacks/gcloud.png" }, { "name": "AWS", "icon": "../../src/assets/live-stacks/aws-s3.png" }, { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "Docker", "icon": "../../src/assets/live-stacks/docker.png" } ], "outcomes": [ "Delivered three enterprise networking solutions including VPN and peer-to-peer security", "Built secure network tunneling with MAC address management across 84 hours", "Deployed EdgeVPN.io for private peer-to-peer networking" ], "tags": [ "security", "cloud", "infrastructure" ], "links": [ { "label": "GitHub", "url": "https://nishanttiwari.com" } ], "featured": false, "image": "../../src/assets/live-projects/upwork-deploy.png", "experience_id": "6" }, { "id": "7", "title": "Bhartiya Urban - E-Commerce Platform", "description": "Designed and prototyped the full technical architecture for a web and mobile e-commerce platform. Built 6 API prototypes, system design and implementation, mobile frontend and backend prototypes. Conducted 11 consultation sessions and 18 technical demonstrations covering information architecture, payment flows, and deployment strategy.", "date_start": "2022", "date_end": "2023", "hours": null, "client": "Bhartiya Urban", "tech_stack": [ "React", "Node.js", "API", "Mobile", "E-Commerce" ], "stack_icons": [ { "name": "React", "icon": "../../src/assets/live-stacks/react.png" }, { "name": "Node.js", "icon": "../../src/assets/live-stacks/nodejs.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" }, { "name": "Mobile", "icon": "../../src/assets/live-stacks/mobile.png" }, { "name": "E-Commerce", "icon": "../../src/assets/live-stacks/ecommerce.png" } ], "outcomes": [ "Built 6 API prototypes with full system design for web and mobile e-commerce", "Conducted 11 consultation sessions and 18 technical demonstrations", "Covered information architecture, payment flows, and deployment strategy" ], "tags": [ "e-commerce", "web-development", "mobile", "architecture" ], "links": [ { "label": "GitHub", "url": "https://nishanttiwari.com" } ], "featured": false, "image": "../../src/assets/live-projects/bhartiya-urban.png", "experience_id": "7" }, { "id": "6", "title": "Prolly - Fintech Data Platform", "description": "Built a fintech mobile application integrating multiple heterogeneous data sources under licence. Implemented vector embeddings and a recommendation engine to create derived financial products. Designed the data pipeline for rotating new licensed datasets in and out of production, managing data freshness and licensing constraints on AWS infrastructure.", "date_start": "2022", "date_end": "2023", "hours": null, "client": "Prolly Technologies", "tech_stack": [ "Embeddings", "Python", "AWS", "Mobile", "Fintech" ], "stack_icons": [ { "name": "Embeddings", "icon": "../../src/assets/live-stacks/embeddings.png" }, { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "AWS", "icon": "../../src/assets/live-stacks/aws-s3.png" }, { "name": "Mobile", "icon": "../../src/assets/live-stacks/mobile.png" }, { "name": "Fintech", "icon": "../../src/assets/live-stacks/fintech.png" } ], "outcomes": [ "Integrated multiple heterogeneous licensed data sources into fintech platform", "Implemented vector embeddings for financial product recommendation engine", "Designed data pipeline for managing licensed dataset rotation in production" ], "tags": [ "fintech", "ai-ml", "data", "mobile" ], "links": [ { "label": "GitHub", "url": "https://nishanttiwari.com" } ], "featured": false, "image": "../../src/assets/live-projects/prolly.png", "experience_id": "7" }, { "id": "5", "title": "Liq Residuals - Leasing Platform", "description": "Architected and prototyped a mobile-first leasing application. Built 4 API prototypes for the core leasing workflow, conducted 5 consultation sessions and 6 technical demonstrations. Set up cloud hosting infrastructure on AWS.", "date_start": "2022", "date_end": "2023", "hours": null, "client": "Liq Residuals", "tech_stack": [ "Mobile", "API", "Node.js", "AWS" ], "stack_icons": [ { "name": "Mobile", "icon": "../../src/assets/live-stacks/mobile.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" }, { "name": "Node.js", "icon": "../../src/assets/live-stacks/nodejs.png" }, { "name": "AWS", "icon": "../../src/assets/live-stacks/aws-s3.png" } ], "outcomes": [ "Built 4 API prototypes for core leasing workflow", "Conducted 5 consultation sessions and 6 technical demonstrations", "Set up production cloud hosting infrastructure on AWS" ], "tags": [ "fintech", "mobile", "cloud", "architecture" ], "links": [ { "label": "GitHub", "url": "https://nishanttiwari.com" } ], "featured": false, "image": "../../src/assets/live-projects/liq-residuals.png", "experience_id": "7" }, { "id": "4", "title": "l33tPWN — Browser Hacking Lab (Original, 2019)", "description": "The original l33tPWN (2019–2020): a zero-configuration ethical hacking lab that runs entirely in the browser, giving users a lag-free full desktop of an attack machine in the cloud to exploit multiple target web apps and operating systems. Built the cloud infrastructure automation with Python/boto3, Lambda, a DynamoDB backend, and an AWS AppSync/Amplify frontend. (Later rebuilt — see the 2025 overhaul.)", "date_start": "2019-12", "date_end": "2020-08", "hours": null, "client": null, "tech_stack": [ "Python", "Boto3", "Lambda", "DynamoDB", "AWS Amplify" ], "stack_icons": [ { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "Boto3", "icon": "../../src/assets/live-stacks/boto3.png" }, { "name": "Lambda", "icon": "../../src/assets/live-stacks/lambda.png" }, { "name": "DynamoDB", "icon": "../../src/assets/live-stacks/dynamodb.png" }, { "name": "AWS Amplify", "icon": "../../src/assets/live-stacks/aws-amplify.png" } ], "outcomes": [ "Built zero-configuration browser-based ethical hacking lab", "Full cloud infrastructure automation with Python/boto3 and Lambda", "Serverless backend with DynamoDB and AppSync/Amplify frontend" ], "tags": [ "security", "cloud", "serverless", "automation" ], "links": [ { "label": "Live", "url": "https://l33tpwn.com" } ], "featured": false, "image": "../../src/assets/live-projects/l33tpwn.png", "experience_id": "4" }, { "id": "3", "title": "CloudDesk - AMI Automation Platform", "description": "Built an AMI creation and management platform with a point-and-click UI for generating Ansible files. Automated the full storage lifecycle: EBS to snapshot, snapshot to S3, S3 to Glacier, Glacier to Deep Archive. Designed multi-region fault-tolerant architecture with DevSecOps pipeline.", "date_start": "2020-08", "date_end": null, "hours": null, "client": null, "tech_stack": [ "React", "AWS Amplify", "DynamoDB", "Ansible", "AWS S3", "AWS Glacier" ], "stack_icons": [ { "name": "React", "icon": "../../src/assets/live-stacks/react.png" }, { "name": "AWS Amplify", "icon": "../../src/assets/live-stacks/aws-amplify.png" }, { "name": "DynamoDB", "icon": "../../src/assets/live-stacks/dynamodb.png" }, { "name": "Ansible", "icon": "../../src/assets/live-stacks/ansible.png" }, { "name": "AWS S3", "icon": "../../src/assets/live-stacks/aws-s3.png" }, { "name": "AWS Glacier", "icon": "../../src/assets/live-stacks/aws-glacier.png" } ], "outcomes": [ "Built point-and-click UI for Ansible file generation", "Automated full storage lifecycle from EBS through Glacier Deep Archive", "Multi-region fault-tolerant architecture with DevSecOps pipeline" ], "tags": [ "cloud", "devops", "automation" ], "links": [ { "label": "Live", "url": "https://master.d1encb3qrxor38.amplifyapp.com/" } ], "featured": false, "image": "../../src/assets/live-projects/project-2.png", "experience_id": "5" }, { "id": "2", "title": "Cloudtantra - WooCommerce Store + Terraform", "description": "Built a production e-commerce system on WordPress/WooCommerce deployed on AWS LightSail with RDS Aurora. Integrated PayPal, PayTm, and Razor Pay payment gateways. Developed 12 Terraform templates for CloudFormation-based digital AWS solutions sold via the Cloudtantra store.", "date_start": "2019-01", "date_end": "2019-10", "hours": null, "client": null, "tech_stack": [ "WordPress", "Terraform", "CloudFront", "ElastiCache", "AWS RDS Aurora" ], "stack_icons": [ { "name": "WordPress", "icon": "../../src/assets/live-stacks/wordpress.png" }, { "name": "Terraform", "icon": "../../src/assets/live-stacks/terraform.png" }, { "name": "CloudFront", "icon": "../../src/assets/live-stacks/cloudfront.png" }, { "name": "ElastiCache", "icon": "../../src/assets/live-stacks/elasticache.png" }, { "name": "AWS RDS Aurora", "icon": "../../src/assets/live-stacks/aws-rds-aurora.png" } ], "outcomes": [ "Developed 12 Terraform templates sold as digital AWS solutions", "Production e-commerce on AWS LightSail with RDS Aurora", "Integrated three payment gateways: PayPal, PayTm, Razor Pay" ], "tags": [ "cloud", "e-commerce", "infrastructure", "devops" ], "links": [ { "label": "Live", "url": "https://cloudtantra.io/cloud-services/" } ], "featured": false, "image": "../../src/assets/live-projects/project-1.png", "experience_id": "3" }, { "id": "1", "title": "Aim Global - Electra Election System", "description": "Built a complete election management platform with a real-time control room for monitoring polling data, and a companion mobile app (Electra Poll Winner). The system handled election briefings, live results aggregation, and field reporting from polling stations.", "date_start": "2015", "date_end": "2017", "hours": null, "client": "Government / PSU", "tech_stack": [ "Mobile", "Node.js", "API" ], "stack_icons": [ { "name": "Mobile", "icon": "../../src/assets/live-stacks/mobile.png" }, { "name": "Node.js", "icon": "../../src/assets/live-stacks/nodejs.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" } ], "outcomes": [ "Built real-time election control room with live polling data aggregation", "Companion mobile app for field reporting from polling stations", "Handled election briefings and live results aggregation at scale" ], "tags": [ "web-development", "mobile", "real-time" ], "links": [ { "label": "Live", "url": "https://www.youtube.com/playlist?list=PLPveOivqTLsm4EEg3c7smwTT63dI0B2DJ" } ], "featured": false, "image": "../../src/assets/live-projects/aim-global.png", "experience_id": "2" }, { "id": "0e", "title": "Aim Global - Mumbai Angels Portal", "description": "Built a new portal for Mumbai Angels, one of India's leading angel investor networks. A 10-minute demo showcases the full platform for managing deal flow, investor profiles, and startup evaluations.", "date_start": "2014", "date_end": "2016", "hours": null, "client": "Mumbai Angels", "tech_stack": [ "Node.js", "API", "SAAS" ], "stack_icons": [ { "name": "Node.js", "icon": "../../src/assets/live-stacks/nodejs.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" }, { "name": "SAAS", "icon": "../../src/assets/live-stacks/saas.png" } ], "outcomes": [ "Built deal flow management platform for one of India's leading angel investor networks", "Managed investor profiles and startup evaluation workflows" ], "tags": [ "web-development", "saas", "fintech" ], "links": [ { "label": "Live", "url": "https://www.youtube.com/playlist?list=PLPveOivqTLsm4EEg3c7smwTT63dI0B2DJ" } ], "featured": false, "image": "../../src/assets/live-projects/aim-global.png", "experience_id": "2" }, { "id": "0d", "title": "Aim Global - WordPress Automation", "description": "Large-scale instant website deployment system. Automated the provisioning and configuration of WordPress sites at scale, enabling rapid deployment of new sites with pre-configured themes, plugins, and content.", "date_start": "2013", "date_end": "2015", "hours": null, "client": null, "tech_stack": [ "WordPress", "Python", "API" ], "stack_icons": [ { "name": "WordPress", "icon": "../../src/assets/live-stacks/wordpress.png" }, { "name": "Python", "icon": "../../src/assets/live-stacks/python.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" } ], "outcomes": [ "Automated large-scale WordPress provisioning and deployment", "Rapid site deployment with pre-configured themes, plugins, and content" ], "tags": [ "automation", "web-development" ], "links": [ { "label": "Live", "url": "https://www.youtube.com/playlist?list=PLPveOivqTLsm4EEg3c7smwTT63dI0B2DJ" } ], "featured": false, "image": "../../src/assets/live-projects/aim-global.png", "experience_id": "2" }, { "id": "0c", "title": "Aim Global - Document Preparation System", "description": "Automated document preparation and generation system built for enterprise clients. Streamlined the creation of standardized documents from templates and data inputs.", "date_start": "2013", "date_end": "2015", "hours": null, "client": null, "tech_stack": [ "Node.js", "API" ], "stack_icons": [ { "name": "Node.js", "icon": "../../src/assets/live-stacks/nodejs.png" }, { "name": "API", "icon": "../../src/assets/live-stacks/api.png" } ], "outcomes": [ "Automated standardized document generation from templates and data inputs", "Enterprise-grade document preparation system" ], "tags": [ "automation", "web-development" ], "links": [ { "label": "Live", "url": "https://www.youtube.com/playlist?list=PLPveOivqTLsm4EEg3c7smwTT63dI0B2DJ" } ], "featured": false, "image": "../../src/assets/live-projects/aim-global.png", "experience_id": "2" }, { "id": "0b", "title": "Aim Global - Networked Entry Control", "description": "Networked entry control system for managing physical access across multiple locations. 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From Terraform infrastructure-as-code to serverless applications, multi-region fault-tolerant architectures, and production deployments spanning e-commerce, fintech, AI platforms, and IoT networks.", "evidence": { "certifications": [ "AWS Certified Solutions Architect – Professional", "AWS Certified Solutions Architect – Associate", "AWS Certified DevOps Engineer – Professional", "AWS Certified SysOps Administrator – Associate", "AWS Certified Developer – Associate" ], "experience_signals": [ "24 projects spanning AWS, GCP, and multi-cloud deployments", "12 Terraform templates for CloudFormation-based solutions at Cloudtantra", "Multi-region fault-tolerant architecture design at CloudDesk", "Production deployments across e-commerce, fintech, AI, and IoT verticals", "Full serverless stacks: Lambda, DynamoDB, S3, Amplify, AppSync" ], "skills": [ "AWS", "GCP", "Terraform", "Python", "Docker", "Serverless", "DynamoDB", "Lambda", "Solution Architecture" ] }, "unlocks": [ "Principal Cloud Architect roles", "AWS Professional Services or consulting partner positions", "Cloud migration lead for enterprise modernization programs", "Multi-cloud strategy architect for organizations diversifying cloud providers" ], "without_this": [ "5x AWS certifications alone put the candidate in the top percentile globally", "Terraform + CDK + Ansible shows infrastructure-as-code depth across tools", "Production experience across AWS and GCP demonstrates multi-cloud capability" ] }, { "id": "ai-ml-integration-engineer", "label": "AI/ML Integration Engineer", "description": "Bridges AI/ML models and production infrastructure. Built an LLM-powered email system (572 hrs), AI agent platforms on GCP/OpenAI, RAG workflow engines, real-time ML inference for voice processing via NVIDIA Triton, and vector embedding pipelines for fintech applications.", "evidence": { "certifications": [ "Generative AI Overview for Project Managers", "AWS Certified Developer – Associate", "AWS Certified Solutions Architect – Professional" ], "experience_signals": [ "572 hours building LLM email interface with OpenAI Assistants API", "SAPHI AI Agent platform on GCP with OpenAI inference pipelines", "CodelessGPT RAG-based workflow orchestration engine", "NVIDIA Triton Inference Server integration via C++ gRPC client at Tomato AI", "Vector embeddings and recommendation engine for Prolly fintech platform", "Real-time ML inference on live SIP calls for accent modification" ], "skills": [ "OpenAI / LLMs", "Python", "Vector Embeddings", "NVIDIA Triton", "gRPC", "AWS", "GCP", "RAG" ] }, "unlocks": [ "AI/ML Infrastructure Engineer roles at AI-first companies", "MLOps Engineer positions requiring production ML deployment experience", "AI Integration Architect for enterprises adopting LLMs", "Technical Lead for AI product teams needing infrastructure expertise" ], "without_this": [ "1,200+ combined hours on AI/ML projects shows this is not a side skill", "Real-time ML inference (Tomato AI) proves performance-critical deployment capability", "RAG + embeddings + LLM orchestration covers the full modern AI stack" ] }, { "id": "devops-automation-expert", "label": "DevOps Automation Expert", "description": "AWS DevOps Professional certified with CKAD, combining deep CI/CD pipeline expertise with container orchestration, infrastructure-as-code, and automated deployment systems. From multi-tenant blue-green deployments to storage lifecycle automation and DevSecOps pipelines.", "evidence": { "certifications": [ "AWS Certified DevOps Engineer – Professional", "CKAD: Certified Kubernetes Application Developer", "AWS Certified SysOps Administrator – Associate" ], "experience_signals": [ "Multi-tenant deployment system with monitoring, rollback, and blue-green strategy", "CloudDesk AMI automation with full storage lifecycle management", "DevSecOps pipeline design and implementation", "12 Terraform templates for automated AWS deployments", "Docker containerization across 8+ production projects", "GCP CloudRun deployment for Check Point firewall platform" ], "skills": [ "CI/CD", "Docker", "Kubernetes", "Terraform", "Ansible", "AWS", "Monitoring", "Infrastructure as Code" ] }, "unlocks": [ "Senior DevOps Engineer or Staff Platform Engineer roles", "SRE Lead for high-availability production systems", "DevOps Architect for organizations building internal developer platforms", "Cloud Platform Team Lead managing shared infrastructure services" ], "without_this": [ "DevOps Pro + CKAD combination signals both AWS-native and cloud-native depth", "Multi-tenant deployment experience shows enterprise-grade operational maturity", "Storage lifecycle automation demonstrates cost-conscious infrastructure thinking" ] }, { "id": "ai-agent-architect", "label": "AI Agent Architect", "description": "Designs and deploys autonomous multi-agent AI systems that operate with minimal human intervention. Combines deep infrastructure skills (Docker, Linux, GCP) with AI agent orchestration, prompt engineering, and real-world deployment experience. Proven ability to ship working agent systems that produce measurable business outcomes.", "evidence": { "certifications": [ "Generative AI Overview for Project Managers", "CKAD: Certified Kubernetes Application Developer", "AWS Certified Solutions Architect – Professional" ], "experience_signals": [ "Built 6-agent autonomous sales pipeline processing 1,084 leads with zero manual intervention", "Contributed to Dream Server open source AI platform — PR accepted by maintainer", "Designed intent signal detection system using Gemini/Groq for live web intelligence", "Built MCP server exposing professional profile as AI-queryable tools", "Deployed OpenClaw on GCP with systemd services, Docker orchestration, WhatsApp gateway" ], "skills": [ "OpenClaw", "AI Agent Frameworks", "Python", "Docker", "Linux", "VPS Deployment", "Prompt Engineering", "GCP", "Shell Scripting", "Browser Automation", "MCP (Model Context Protocol)", "SQLite" ] }, "unlocks": [ "Can architect and deploy autonomous AI agent systems end-to-end", "Can integrate multiple LLM providers (Anthropic, OpenAI, Gemini, Groq) into production pipelines", "Can build AI systems that produce real business outcomes, not just demos", "Can contribute to open source AI infrastructure projects at production quality" ], "without_this": [ "AI developer who can only build chatbots, not autonomous systems", "Infrastructure engineer without understanding of LLM orchestration and prompt design", "AI researcher without production deployment experience" ] } ] }