Available for Opportunities

Subhamoy Datta

GenAI Backend Engineer

Subhamoy Datta

Backend systems, AI agents, and the infrastructure that ties them together.

CS (AI & ML) student who builds GenAI backend systems and ships them — agent orchestration, RAG pipelines, reliable infrastructure.

About Me

Hi, I'm Subhamoy — I build production-style AI systems: RAG pipelines, LLM-powered backend architectures, and agent orchestration. I've published two MIT-licensed npm packages — rexa-agent (a Docker-sandboxed CLI coding agent) and @subhamoy/somoy (a provider-agnostic TypeScript agent SDK). I'm currently studying Computer Science (AI & ML) at Brainware University, and looking for an internship where this is the day-to-day work.

Here are a few things about me:

Agent Harness & Orchestration

Building provider-agnostic model execution engines with Zod-typed tool I/O and typed RunResult failure states instead of exceptions. Implementing loop detection, agent handoffs with complete transcript transfer, and dynamic tool-calling loops with strict host vs sandbox git trust boundaries.

Agent Security & Guardrails

Enforcing isolated execution within non-root Docker sandboxes with strict command containment. Pausing execution for explicit user confirmation on consequential actions like git operations, dependency installs, and file deletions. Implementing input/output guardrails with automated secret scanning and OS-level credential storage via keytar.

GenAI Backend Dev

Designing production LLM-powered backends: multi-modal ingestion pipelines across PDF, URL, YouTube, and raw text, pgvector for semantic similarity search, and asynchronous Redis/BullMQ embedding pipelines. Backing it with Redis-based rate limiting, high-throughput result caching, and Express/Node APIs built to hold up under real load.

Cloud & Open Source

Shipping and maintaining two MIT-licensed npm packages — rexa-agent and @subhamoy/somoy — from architecture through publishing. Deploying and running services on AWS, Vercel, and Render, with Docker Compose for containerized environments across development and production.

Technical Stack & Architecture

Agentic Harness & Multi-Agent System DesignTool-/Function-Calling SystemsMulti-Provider LLM IntegrationAgent Loops & HandoffsZod Schema I/OTyped RunResult Failure StatesLoop DetectionHost vs Sandbox Git Trust BoundariesGemini APIOpenAI APITavily APILangChainRetrieval-Augmented Generation (RAG)Prompt Engineering

Featured Projects

REXA

Autonomous CLI Coding Agent

npm: rexa-agent

Published npm package (rexa-agent) [ADD: npm weekly downloads]. TypeScript, Bun, Docker Compose, Gemini API, Tavily API, keytar. Runs in a non-root Docker sandbox [ADD: median sandbox startup time]; input/output guardrails with secret scanning; OS-level credential vault; pauses for confirmation on consequential actions (git ops, installs, deletes).

TypeScriptBunDocker ComposeGemini APITavily APIkeytar Vault

somoy

TypeScript AI Agent SDK

npm: @subhamoy/somoy

Published npm package (@subhamoy/somoy) [ADD: npm weekly downloads]. Provider-agnostic (Gemini, OpenAI, offline MockProvider) with Zod-typed tool I/O [ADD: per tool-call round-trip time], typed RunResult failure states instead of exceptions, loop detection, agent handoffs with transcript transfer.

TypeScriptBunGemini APIOpenAIZod

DocSense

RAG Document Intelligence Platform

Full-Stack RAG Platform

PDF/URL/YouTube/text ingestion, pgvector similarity search [ADD: p95 query latency], async Redis/BullMQ embedding pipeline [ADD: documents ingested per minute], AWS S3, Clerk auth.

TypeScriptPostgreSQLpgvectorRedisBullMQAWS S3Clerk

Resumark

AI Resume Analysis Platform

Async AI Pipeline

Gemini-generated feedback, async BullMQ/Redis pipeline [ADD: average analysis turnaround time], AWS S3, Clerk auth.

TypeScriptRedisBullMQAWS S3Gemini APIClerk

Honors & Recognition

Winner1st Place

Frontend Odyssey: The Interactive Web Experience Challenge

Indian Institute of Technology (IIT), Patna (hosted via Unstop)

Get In Touch

Currently looking for an AI/ML or backend engineering internship to build on the work I've shipped so far. I'm always open to collaborating on agent and RAG systems — if you're building at a product company in the space, I'd love to talk.

© 2026 Subhamoy Datta · GenAI Backend Developer