Screen me — objectively.

The full profile

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.

Availability: available · $80/USD per hour · remote only · notice: immediate · Asia/Kolkata · open to fulltime, contract, freelance

Skills

Cloud: AWS (5/5, 8y), GCP (3/5, 3y), Serverless (4/5, 5y), Boto3 (5/5, 6y), Lambda (4/5, 5y), AWS Amplify (3/5, 4y)

Programming: Python (5/5, 10y), React (3/5, 4y), Node.js (3/5, 4y), gRPC (3/5, 2y), C++ (3/5, 3y), WordPress (3/5, 5y), WooCommerce (3/5, 4y), API Design (4/5, 8y)

Infrastructure: Terraform (4/5, 5y), SIP / VoIP (4/5, 2y), FreeSWITCH (4/5, 1y), Embedded Systems (3/5, 3y), AWS CDK (3/5, 3y), Linux (5/5, 20y), Virtual Machines (4/5, 10y), VPS Deployment (4/5, 10y)

DevOps: Docker (4/5, 5y), Kubernetes (4/5, 3y), CI/CD (4/5, 6y), Ansible (3/5, 4y), Browser Automation (4/5, 3y), Shell Scripting (5/5, 15y), Playwright (4/5, 2y), DevOps (5/5, 8y), Observability (4/5, 5y)

Management: Solution Architecture (5/5, 12y), Project Management (5/5, 12y), Stakeholder Management (5/5, 12y), Documentation (4/5, 10y)

AI/ML: AI/ML (4/5, 3y), LLMs / OpenAI / Anthropic (4/5, 3y), Vector Embeddings (3/5, 2y), NVIDIA Triton (3/5, 1y), AI Agent Frameworks (5/5, 2y), MCP (Model Context Protocol) (4/5, 1y), Prompt Engineering (5/5, 3y), OpenClaw (5/5, 2y)

Data: DynamoDB (4/5, 5y), MySQL (3/5, 6y), SQLite (4/5, 5y)

Security: Network Security (4/5, 6y), Penetration Testing (4/5, 5y)

Productivity: Google Workspace (4/5, 10y)

Experience

• Solutions Architect, DevOps Engineer, AI/ML Consultant, Freelance (Upwork) (2024–present) · AWS, Python, Docker, Terraform, GCP, OpenAI, Boto3, Ansible, CDK, DynamoDB, Lambda, S3
• SIP/VoIP Engineer and Developer, Tomato AI (2023-05–2023-12) · FreeSWITCH, gRPC, C++, SIP, Asterisk, AWS, NVIDIA Triton, Python
• Technical Consultant, Full Stack Architect, Direct Clients (2022–2023) · React, Node.js, Python, AWS, Mobile, Embeddings
• Freelance Developer, Upwork (2021-23) (2021–2023) · AWS, Python, Docker, Google Cloud, Node.js
• Solutions Architect and DevOps Engineer, CloudDesk (2020-08–present) · AWS, Python, Boto3, Node.js, CDK, Ansible, React, DynamoDB, S3, Amplify
• Lead Developer and DevOps Engineer, l33tpwn (2019-12–2020-08) · Python, Boto3, Lambda, DynamoDB, AWS Amplify, AppSync
• Terraform Developer, Solutions Architect, WordPress/WooCommerce Developer, Cloudtantra (2019-01–2019-10) · WordPress, WooCommerce, Terraform, AWS, CloudFront, ElastiCache, RDS Aurora
• Executive Director, Aim Global Solutions (2011-10–2019) · Node.js, Python, Mobile, WordPress, API, SAAS
• Developer, Researcher, Embedded Systems Engineer, UK (Various) (2005–2008) · Embedded Systems, C++, Python, Cryptography

Featured projects

• AgentOne — SAP B1 AI Automation Platform — 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. (Python, Go, Next.js, GCP Cloud Run, Cloud SQL, Docker, Stripe, MCP, SAP B1)
• nishant-profile-mcp — AI-Readable Résumé MCP Server — 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). (TypeScript, Node.js, MCP, Embeddings, LLM)
• Yukt Capital — Invoice-Discounting Marketplace + MCP Server — 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. (Next.js, TypeScript, Prisma, PostgreSQL, MCP, Node.js)
• AQA — System of Record for Agentic Verification — 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. (Python, FastAPI, FastMCP, PostgreSQL, pgvector, MCP)
• l33tpwn — Cloud Pentest Training Platform (2025 Overhaul) — 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. (Python, AWS Lambda, DynamoDB, EC2 / SSM, Terraform, Cognito, CloudFront)
• OpenClaw AI — Dream Server Open Source Contribution — 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. (OpenClaw, Docker, Python, Linux, AI Agent Frameworks, Shell Scripting, Node.js)
• Autonomous AI Sales Pipeline — SAP B1 Lead Generation — 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. (OpenClaw, Python, Docker, Linux, AI Agent Frameworks, GCP, SQLite, Shell Scripting, Browser Automation, Playwright, Node.js, VPS Deployment)
• Check Point Cloud Firewall Manager — 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. (Python, AWS, GCP CloudRun, Docker, Terraform, Boto3)
• Product Customizer - ColdFusion to FOSS Migration — 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. (Docker, Google Cloud, WooCommerce, MySQL, API)
• SAPHI - AI Agent Platform — 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. (Google Cloud, OpenAI, Python, API)
• Multi-Tenant Deployment System — 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. (AWS, Docker, Ansible, CDK)
• LLM Email Interface — 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. (LLM, OpenAI, Python, DynamoDB, AWS S3, AWS Amplify, Lambda)
• CodelessGPT - AI Workflow Platform — 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. (OpenAI, React, Node.js, Python, Embeddings, API)

Certifications

AWS Certified Solutions Architect – Professional [expired] · AWS Certified DevOps Engineer – Professional [expired] · Project Management Professional (PMP) [active] · CKAD: Certified Kubernetes Application Developer [expired] · AWS Certified Solutions Architect – Associate [expired] · AWS Certified SysOps Administrator – Associate [expired] · AWS Certified Developer – Associate [expired] · Generative AI Overview for Project Managers [active] · Google Certified Associate – G Suite Administrator [active] · Google Analytics Certified [active] · Google Ads Certified – 6 Categories [active] · Google Digital Sales Certified [active] · Google Mobile Sites Certified [active]