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.
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.
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.