{"data":{"profileData":{"name":"Nishant Tiwari","title":"Agentic AI Engineer, 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. Lately I've gone deep on agentic AI — building autonomous agents that reason through an auditable Plan-Do-Check-Act loop with ReAct-style planning and tool-use, plus a LoRA fine-tuning platform that turns their own decision traces into specialist models. I've earned 5 AWS certifications (including Solutions Architect Professional and DevOps Engineer Professional) and CKAD — now lapsed on renewal cadence, though the cloud-architecture and Kubernetes expertise they reflect stays current in my work — plus an active PMP. $100K+ earned on Upwork with 100% Job Success and Top Rated Plus status.","availability":{"status":"available","rate":80,"currency":"USD","remote_preference":"remote_only","notice_period":"immediate","timezone":"Asia/Kolkata","open_to":["fulltime","contract","freelance"]},"skills":[{"name":"AWS","category":"Cloud","proficiency":5,"years":8},{"name":"Python","category":"Programming","proficiency":5,"years":10},{"name":"Terraform","category":"Infrastructure","proficiency":4,"years":5},{"name":"Docker","category":"DevOps","proficiency":4,"years":5},{"name":"Kubernetes","category":"DevOps","proficiency":4,"years":3},{"name":"CI/CD","category":"DevOps","proficiency":4,"years":6},{"name":"React","category":"Programming","proficiency":3,"years":4},{"name":"Node.js","category":"Programming","proficiency":3,"years":4},{"name":"GCP","category":"Cloud","proficiency":3,"years":3},{"name":"Solution Architecture","category":"Management","proficiency":5,"years":12},{"name":"AI/ML","category":"AI/ML","proficiency":4,"years":3},{"name":"LLMs / OpenAI / Anthropic / 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Management","category":"Management","proficiency":5,"years":12},{"name":"WordPress","category":"Programming","proficiency":3,"years":5},{"name":"WooCommerce","category":"Programming","proficiency":3,"years":4},{"name":"AWS CDK","category":"Infrastructure","proficiency":3,"years":3},{"name":"AWS Amplify","category":"Cloud","proficiency":3,"years":4},{"name":"Vector Embeddings","category":"AI/ML","proficiency":3,"years":2},{"name":"MySQL","category":"Data","proficiency":3,"years":6},{"name":"NVIDIA Triton","category":"AI/ML","proficiency":3,"years":1},{"name":"Linux","category":"Infrastructure","proficiency":5,"years":20},{"name":"AI Agent Frameworks","category":"AI/ML","proficiency":5,"years":2},{"name":"Browser Automation","category":"DevOps","proficiency":4,"years":3},{"name":"Shell Scripting","category":"DevOps","proficiency":5,"years":15},{"name":"Virtual Machines","category":"Infrastructure","proficiency":4,"years":10},{"name":"Playwright","category":"DevOps","proficiency":4,"years":2},{"name":"SQLite","category":"Data","proficiency":4,"years":5},{"name":"MCP (Model Context Protocol)","category":"AI/ML","proficiency":4,"years":1},{"name":"Prompt Engineering","category":"AI/ML","proficiency":5,"years":3},{"name":"Penetration Testing","category":"Security","proficiency":4,"years":5},{"name":"OpenClaw","category":"AI/ML","proficiency":5,"years":2},{"name":"VPS Deployment","category":"Infrastructure","proficiency":4,"years":10},{"name":"Google Workspace","category":"Productivity","proficiency":4,"years":10},{"name":"DevOps","category":"DevOps","proficiency":5,"years":8},{"name":"Observability","category":"DevOps","proficiency":4,"years":5},{"name":"API Design","category":"Programming","proficiency":4,"years":8},{"name":"Stakeholder Management","category":"Management","proficiency":5,"years":12},{"name":"Documentation","category":"Management","proficiency":4,"years":10},{"name":"Agentic Reasoning Patterns (PDCA, ReAct, Planning, Tool-Use)","category":"AI/ML","proficiency":5,"years":2},{"name":"LLM Fine-Tuning (LoRA / SFT)","category":"AI/ML","proficiency":4,"years":2}]},"allJob":{"nodes":[{"jobId":"9","company":"Freelance (Upwork)","role":"Solutions Architect, DevOps Engineer, AI/ML Consultant","date_start":"2024","date_end":null,"tech_stack":["AWS","Python","Docker","Terraform","GCP","OpenAI","Boto3","Ansible","CDK","DynamoDB","Lambda","S3"]},{"jobId":"8","company":"Tomato AI","role":"SIP/VoIP Engineer and Developer","date_start":"2023-05","date_end":"2023-12","tech_stack":["FreeSWITCH","gRPC","C++","SIP","Asterisk","AWS","NVIDIA Triton","Python"]},{"jobId":"7","company":"Direct Clients","role":"Technical Consultant, Full Stack Architect","date_start":"2022","date_end":"2023","tech_stack":["React","Node.js","Python","AWS","Mobile","Embeddings"]},{"jobId":"6","company":"Upwork (2021-23)","role":"Freelance Developer","date_start":"2021","date_end":"2023","tech_stack":["AWS","Python","Docker","Google Cloud","Node.js"]},{"jobId":"5","company":"CloudDesk","role":"Solutions Architect and DevOps Engineer","date_start":"2020-08","date_end":null,"tech_stack":["AWS","Python","Boto3","Node.js","CDK","Ansible","React","DynamoDB","S3","Amplify"]},{"jobId":"4","company":"l33tpwn","role":"Lead Developer and DevOps Engineer","date_start":"2019-12","date_end":"2020-08","tech_stack":["Python","Boto3","Lambda","DynamoDB","AWS Amplify","AppSync"]},{"jobId":"3","company":"Cloudtantra","role":"Terraform Developer, Solutions Architect, WordPress/WooCommerce Developer","date_start":"2019-01","date_end":"2019-10","tech_stack":["WordPress","WooCommerce","Terraform","AWS","CloudFront","ElastiCache","RDS Aurora"]},{"jobId":"2","company":"Aim Global Solutions","role":"Executive Director","date_start":"2011-10","date_end":"2019","tech_stack":["Node.js","Python","Mobile","WordPress","API","SAAS"]},{"jobId":"1","company":"UK (Various)","role":"Developer, Researcher, Embedded Systems Engineer","date_start":"2005","date_end":"2008","tech_stack":["Embedded Systems","C++","Python","Cryptography"]}]},"allProject":{"nodes":[{"projectId":"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.","tech_stack":["Python","Go","Next.js","GCP Cloud Run","Cloud SQL","Firebase","Firestore","Firebase Auth","Cloud Functions","Docker","Stripe","MCP","Gemini","SAP B1"]},{"projectId":"29","title":"AI-Native Hiring Funnel","description":"The screening pipeline you're using right now. A single profile.json is the source of truth for this Gatsby site, an MCP server (8 tools incl. a semantic match_role engine), Schema.org + llms.txt + .well-known discovery, and a live serverless link-minter: paste a JD into a password-protected admin UI and get a short s.nishanttiwari.com link that returns a self-contained screening prompt — content-negotiated to serve a copy-and-paste page to browsers and raw text to AIs. No LLM in the request path, so it runs at ~$0. Surface propagation is regression-tracked in a custom agentic QA system (AQA).","tech_stack":["AWS Lambda","DynamoDB","API Gateway","CloudFormation","Route 53 / ACM","Gatsby","React","MCP","Node.js","Schema.org"]},{"projectId":"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).","tech_stack":["TypeScript","Node.js","MCP","Embeddings","LLM"]},{"projectId":"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.","tech_stack":["Next.js","TypeScript","Prisma","PostgreSQL","MCP","Node.js"]},{"projectId":"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.","tech_stack":["Python","FastAPI","FastMCP","PostgreSQL","pgvector","MCP"]},{"projectId":"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.","tech_stack":["Python","AWS Lambda","DynamoDB","EC2 / SSM","Terraform","Cognito","CloudFront"]},{"projectId":"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.","tech_stack":["OpenClaw","Docker","Python","Linux","AI Agent Frameworks","Shell Scripting","Node.js"]},{"projectId":"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.","tech_stack":["OpenClaw","Python","Docker","Linux","AI Agent Frameworks","GCP","SQLite","Shell Scripting","Browser Automation","Playwright","Node.js","VPS Deployment"]},{"projectId":"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.","tech_stack":["Python","AWS","GCP CloudRun","Docker","Terraform","Boto3"]},{"projectId":"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.","tech_stack":["Docker","Google Cloud","WooCommerce","MySQL","API"]},{"projectId":"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.","tech_stack":["Google Cloud","OpenAI","Python","API"]},{"projectId":"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.","tech_stack":["AWS","Docker","Ansible","CDK"]},{"projectId":"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.","tech_stack":["LLM","OpenAI","Python","DynamoDB","AWS S3","AWS Amplify","Lambda"]},{"projectId":"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.","tech_stack":["OpenAI","React","Node.js","Python","Embeddings","API"]}]},"privateProjects":{"nodes":[{"projectId":"27","slug":"chakravyuhrift-autonomous-offensive-security-agent-platform","title":"ChakravyuhRift — Autonomous Offensive-Security Agent Platform","description":"A private research build. An autonomous offensive-security platform that drives an LLM through a custom async tool-calling agent loop over 30+ containerized security-tool microservices (nmap, nuclei, sqlmap, ZAP, …) exposed via an MCP-over-HTTP bridge, under a 4-tier safety model. Every agent decision runs a per-decision Plan-Do-Check-Act (PDCA) cycle whose audited reasoning traces become fine-tuning data for domain-specialist models — a closed self-improvement loop.","tech_stack":["Python","FastAPI","Docker","MCP","LLM Orchestration","LoRA / SFT Fine-Tuning","Modal","React","Agentic AI"],"tags":["ai","agentic","security","llm","research"]},{"projectId":"28","slug":"foundry-lora-fine-tuning-adapter-lifecycle-platform","title":"Foundry — LoRA Fine-Tuning & Adapter-Lifecycle Platform","description":"A private research build. A self-built MLOps platform that trains, tracks, evaluates, and serves small LLM (LoRA) adapters across heterogeneous compute — Modal serverless GPUs, Kaggle, and local Apple-Silicon MLX. Exposes a Click CLI and a FastAPI service over a pluggable compute-backend abstraction, with run tracking in SQLite, eval-gated deployment, and OpenAI-compatible inference. Built to train ChakravyuhRift's pentest-specialist adapters, but architecturally domain-agnostic.","tech_stack":["Python","FastAPI","LoRA / SFT Fine-Tuning","Unsloth / TRL","Modal","vLLM","Apple MLX","SQLite","Click CLI"],"tags":["ai","mlops","llm","fine-tuning","research"]},{"projectId":"18","slug":"authenticated-rdp-ssh-access-poc","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!'","tech_stack":["AWS","Python","Docker","API"],"tags":["cloud","security","devops"]},{"projectId":"17","slug":"powerpoint-e-commerce-store","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.'","tech_stack":["WordPress","WooCommerce","AWS"],"tags":["e-commerce","web-development"]},{"projectId":"16","slug":"secure-fleet-access-auth0-guacamole","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!'","tech_stack":["AWS","Boto3","Python","Docker","API"],"tags":["cloud","security","devops","automation"]},{"projectId":"11","slug":"tomato-ai-real-time-voice-accent-modification","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.","tech_stack":["FreeSWITCH","gRPC","Triton","C++","SIP","Asterisk","AWS"],"tags":["ai-ml","infrastructure","voip","real-time"]},{"projectId":"10","slug":"private-4g-cellular-iot-network","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.","tech_stack":["Magma","4G LTE","Python","Docker","AWS"],"tags":["infrastructure","iot","cloud"]},{"projectId":"8","slug":"enterprise-vpn-and-network-security","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!!!'","tech_stack":["Google Cloud","AWS","Python","Docker"],"tags":["security","cloud","infrastructure"]},{"projectId":"7","slug":"bhartiya-urban-e-commerce-platform","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.","tech_stack":["React","Node.js","API","Mobile","E-Commerce"],"tags":["e-commerce","web-development","mobile","architecture"]},{"projectId":"6","slug":"prolly-fintech-data-platform","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.","tech_stack":["Embeddings","Python","AWS","Mobile","Fintech"],"tags":["fintech","ai-ml","data","mobile"]},{"projectId":"5","slug":"liq-residuals-leasing-platform","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.","tech_stack":["Mobile","API","Node.js","AWS"],"tags":["fintech","mobile","cloud","architecture"]},{"projectId":"4","slug":"l33tpwn-browser-hacking-lab-original-2019","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.)","tech_stack":["Python","Boto3","Lambda","DynamoDB","AWS Amplify"],"tags":["security","cloud","serverless","automation"]},{"projectId":"3","slug":"clouddesk-ami-automation-platform","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.","tech_stack":["React","AWS Amplify","DynamoDB","Ansible","AWS S3","AWS Glacier"],"tags":["cloud","devops","automation"]},{"projectId":"2","slug":"cloudtantra-woocommerce-store-terraform","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.","tech_stack":["WordPress","Terraform","CloudFront","ElastiCache","AWS RDS Aurora"],"tags":["cloud","e-commerce","infrastructure","devops"]},{"projectId":"1","slug":"aim-global-electra-election-system","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.","tech_stack":["Mobile","Node.js","API"],"tags":["web-development","mobile","real-time"]},{"projectId":"0e","slug":"aim-global-mumbai-angels-portal","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.","tech_stack":["Node.js","API","SAAS"],"tags":["web-development","saas","fintech"]},{"projectId":"0d","slug":"aim-global-wordpress-automation","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.","tech_stack":["WordPress","Python","API"],"tags":["automation","web-development"]},{"projectId":"0c","slug":"aim-global-document-preparation-system","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.","tech_stack":["Node.js","API"],"tags":["automation","web-development"]},{"projectId":"0b","slug":"aim-global-networked-entry-control","title":"Aim Global - Networked Entry Control","description":"Networked entry control system for managing physical access across multiple locations. Integrated hardware access control with a web-based management interface.","tech_stack":["Node.js","API"],"tags":["iot","web-development","security"]},{"projectId":"0a","slug":"meme-boss","title":"MEME Boss","description":"MEME Boss — a personal web application project. Demo available on YouTube.","tech_stack":["Node.js","React"],"tags":["web-development"]}]},"allCert":{"nodes":[{"name":"AWS Certified Solutions Architect – Professional","provider":"Amazon Web Services","status":"expired"},{"name":"AWS Certified DevOps Engineer – Professional","provider":"Amazon Web Services","status":"expired"},{"name":"Project Management Professional (PMP)","provider":"PMI","status":"active"},{"name":"CKAD: Certified Kubernetes Application Developer","provider":"CNCF / Linux Foundation","status":"expired"},{"name":"AWS Certified Solutions Architect – Associate","provider":"Amazon Web Services","status":"expired"},{"name":"AWS Certified SysOps Administrator – Associate","provider":"Amazon Web Services","status":"expired"},{"name":"AWS Certified Developer – Associate","provider":"Amazon Web Services","status":"expired"},{"name":"Generative AI Overview for Project Managers","provider":"PMI","status":"active"},{"name":"Google Certified Associate – G Suite Administrator","provider":"Google","status":"active"},{"name":"Google Analytics Certified","provider":"Google","status":"active"},{"name":"Google Ads Certified – 6 Categories","provider":"Google","status":"active"},{"name":"Google Digital Sales Certified","provider":"Google","status":"active"},{"name":"Google Mobile Sites Certified","provider":"Google","status":"active"}]}}}