Suryansh

I'm a Senior Software Engineer with 5+ years of experience building backend infrastructure and AI-integrated systems — from high-throughput job queues to production RAG pipelines. My recent focus has been Agentic AI: exposing backend logic and live data to LLM agents through clean, well-defined tool interfaces, so agents can reason and act reliably instead of guessing at math or filters.

My core toolkit is Python (FastAPI, Flask), PostgreSQL, and vector search (FAISS, ChromaDB), backed by Docker, GitHub Actions, and AWS for shipping and running things in production. On the agent side, I work with LangChain, LangGraph, CrewAI, and the OpenAI Agents SDK, along with MCP for connecting tools to models. I'm also AWS Certified Solutions Architect.

I care about systems that hold up under real usage — fault-tolerant, observable, built to scale — and I like owning problems end-to-end, from architecture through deployment. Outside of core project work, I enjoy exploring new corners of the AI/agent tooling ecosystem and sharpening the fundamentals — data structures, system design, distributed systems — that hold everything up.