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subhamoydatta703/README.md

Subhamoy Datta

GenAI · Agentic AI · Backend Systems

I build AI products, agent systems, RAG pipelines, and backend infrastructure with a strong focus on how things work under the hood.

Portfolio LinkedIn X Email

About

Current focus   → GenAI + Agentic AI + Backend Engineering
Building        → AI agents, RAG systems, APIs, async pipelines, developer tooling
Main stack      → TypeScript, Bun/Node.js, React, PostgreSQL, Redis, Docker, AWS

I like building systems that are practical, inspectable, and production-oriented — not just demos. Most of my work sits at the intersection of AI application engineering and backend infrastructure.

Featured Work

REXA

Autonomous developer agent harness

A TypeScript/Bun agent that can inspect repositories, edit code, execute sandboxed commands, work with Git, research on the web, and iterate across multi-step tasks.

Highlights

  • Multi-step tool-calling agent loop
  • Docker sandbox with non-root execution
  • Guardrails + credential leak prevention
  • Explicit approval for consequential actions
  • Layered search fallback

TypeScript Bun Docker Gemini Git CLI

Source · npm

Somoy

Transparent TypeScript agent SDK

A small provider-agnostic SDK built around an explicit plan → act → observe loop, designed to keep agent execution readable and easy to inspect.

Highlights

  • Typed tools and structured outputs
  • Gemini, OpenAI, and offline Mock providers
  • Typed failure states with RunResult
  • Multi-agent handoffs
  • Retries, timeouts, backoff, loop detection

TypeScript Zod Bun Node.js SQLite

Source · npm

DocSense

Multi-source RAG platform

Ingests PDFs, websites, YouTube transcripts, and raw text, then answers questions using grounded retrieval over pgvector-backed embeddings.

Highlights

  • Multi-source ingestion pipeline
  • Asynchronous processing with BullMQ
  • pgvector semantic retrieval
  • Step-back query optimization
  • Guardrails, rate limiting, auth, and S3 storage

React TypeScript Bun PostgreSQL pgvector Redis AWS

Live · Source

Resumark

AI resume analysis platform

Processes resumes asynchronously and returns AI-generated analysis while keeping the request path fast through queues, caching, and persistent storage.

Highlights

  • Background analysis pipeline
  • Redis + PostgreSQL caching
  • BullMQ job processing
  • S3-backed resume storage
  • Production-oriented API architecture

TypeScript Bun Express PostgreSQL Redis BullMQ AWS

Live · Source

What I Work With

AI / GenAI RAG · Vector Search · AI Agents · Tool Calling · Structured Outputs · Prompt Engineering · Guardrails
Backend REST APIs · API Design · Postman · Auth · Background Jobs · Rate Limiting · Queues · Caching · File Pipelines
Data PostgreSQL · pgvector · Redis · MongoDB · Prisma · SQLite
Infrastructure Docker · AWS · Vercel · Render · Linux · GitHub · Bun · Node.js
Tech stack icons

Engineering Interests

  • Agent architecture and orchestration
  • RAG quality, retrieval evaluation, and grounding
  • Reliable async processing and job systems
  • API gateways, quotas, rate limits, retries, and fault tolerance
  • System design through practical implementation
  • AI infrastructure and developer-facing AI tools

GitHub Activity

GitHub stats Top languages

Building AI systems. Learning the infrastructure behind them. Shipping what I learn.

GitHub · LinkedIn · X · Portfolio

Pinned Loading

  1. REXA REXA Public

    REXA is an autonomous terminal agent built to handle software tasks, perform web research, plan tool execution, safely modify and verify code, run commands in isolated Docker sandboxes, detect secr…

    TypeScript 3 1

  2. REVA REVA Public

    Autonomous, Policy-Bounded Revenue Recovery System for the Razorpay AI Buildathon 2026

    TypeScript

  3. Marin Marin Public

    Python 1

  4. Somoy-Agent-SDK Somoy-Agent-SDK Public

    npm package

    TypeScript

  5. DocSense DocSense Public

    RAG-based document Q&A platform with source-grounded citations and rate limiting. Bun + Express backend, LangChain for chunking, pgvector for semantic search, BullMQ for async processing, React fro…

    TypeScript

  6. Resumark Resumark Public

    AI-powered resume analyzer built with Bun, Express, PostgreSQL, Redis, BullMQ, AWS S3, and Google Gemini. Upload a PDF resume and get ATS scores, role suggestions, strengths, and improvement areas …

    TypeScript