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tomvsaji/README.md

Hi, I'm Tom 👋

📍 Qatar  |  🤖 Lead AI Engineer  |  Azure AI · LangGraph · RAG · Real-time systems

Python TypeScript FastAPI LangGraph Azure React Docker

I build AI systems that hold up under real enterprise constraints — multi-step agent workflows, document intelligence pipelines, retrieval-backed applications, and the real-time cloud infrastructure around them. My focus is on the gap between prototype AI demos and actual internal tooling that teams can operate and extend.

What I'm Building

What I Work With

Area Tools
Agent orchestration LangGraph, LangChain, Celery, Redis
AI services Azure OpenAI, Azure Document Intelligence, Azure AI Search
Backend FastAPI, Python, SQLAlchemy, PostgreSQL
Frontend React, TypeScript, Vite, Tailwind CSS
Infrastructure Azure Container Apps, Functions, Docker Compose

Get In Touch

🌐 tomvsaji.com  ·  𝕏 @tomvsaji2

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  1. langchain-agent langchain-agent Public

    RAG-focused LangChain prototype with vector memory, chat history, and a full-stack chat interface.

    Python

  2. ui-form-based-agent-builder ui-form-based-agent-builder Public

    Visual builder for configuring agent workflows, runtime behavior, and structured form-based interactions.

    TypeScript

  3. agentic-doc-reviewer-workflow agentic-doc-reviewer-workflow Public

    A document submission workflow that uses multiple agents to extract key information from documents using OCR and LLM structured output. Langraph is used to orchestrate the workflow based on determi…

    Python

  4. text-to-sql-agent text-to-sql-agent Public

    A natural language to sql agent. Useful for situations when you need to connect a Gen AI system to a traditional database. The agent has capability to explore the database, so that it can find rele…

    Python