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SUBHAMOY DATTA

GenAI Engineer · LLM Agents & RAG Systems

Kolkata, West Bengal, India

@subhamoydatta

0 followers

🎓 B.Tech, CSE (AI/ML) at Brainware University · Graduating 2028

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About

GenAI Engineer building LLM agents, RAG systems, and real-time voice AI pipelines. Pursuing a B.Tech in CSE (AI/ML) at Brainware University and has published npm packages including an autonomous coding agent and a multi-agent SDK.

Education

Skills

1 to 2 years 1 to 2 years A year or two of steady use.
Python Node.js Express.js JavaScript RESTful APIs Advanced DBMS Prompt Engineering APIs and integrations Data Structures and Algorithms
6 to 12 months 6 to 12 months Most of a year behind them.
C SQL Oop Java PRISMA Bullmq Pgvector Bcryptjs OAuth 2.0 TypeScript Operating Systems Generative AI (ChatGPT, Copilot, Gemini)
3 to 6 months 3 to 6 months A few months of practice with it.
JWT
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
RAG LangChain

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Neo4j Redis Docker GitHub Render Vercel MongoDB Postman PostgreSQL Amazon Web Services AWS

Projects

  • Marin ↗
    Python, Silero VAD, Whisper, FunASR emotion2vec, Gemini API, Edge-TTS, CUDA

    Real-time voice AI companion with turn-taking, barge-in handling, transcription, emotion recognition, and adaptive text-to-speech.

  • Marin ↗
    Python, Silero VAD, Whisper, FunASR emotion2vec, Gemini API, Edge-TTS, CUDA

    Real-time voice AI companion with turn-taking, barge-in handling, transcription, emotion recognition, and adaptive text-to-speech.

  • DocSense ↗
    React 19, Vite, TypeScript, Bun, Express, LangChain, PostgreSQL, pgvector, Redis, BullMQ, AWS, Clerk, Gemini API

    RAG-powered document intelligence platform with multi-source ingestion, grounded retrieval, workers, authentication, rate limiting, and AWS-backed storage.

  • DocSense ↗
    React 19, Vite, TypeScript, Bun, Express, LangChain, PostgreSQL, pgvector, Redis, BullMQ, AWS, Clerk, Gemini API

    RAG-powered document intelligence platform with multi-source ingestion, grounded retrieval, workers, authentication, rate limiting, and AWS-backed storage.

  • REXA ↗
    TypeScript, Bun, Docker Compose, Google Gemini API, Tavily API, keytar

    Autonomous CLI coding agent harness with supervisor routing, research and coding agents, Docker-sandboxed execution, guardrails, and account memory.

🏆 Achievements & awards

  • Frontend Development Prize

    Won a frontend development prize at an IIT Patna hackathon.

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