I build backend systems and AI-powered products — with a focus on production engineering, LLM orchestration, and systems that scale.
I'm a final-year B.Tech EEE student at NIT Trichy, working at the intersection of backend engineering and applied AI. My interest isn't in AI as a novelty — it's in making AI systems reliable, explainable, and useful at scale.
I've built production-grade systems end-to-end: from containerised Node.js APIs with Redis-backed session management to multi-stage RAG pipelines with custom reranking and hallucination reduction. I care about the decisions that most portfolios skip — chunking strategy, cache invalidation, architectural tradeoffs.
Currently focused on placement prep and deepening expertise in distributed systems, LLM orchestration, and agentic AI. Targeting SWE/AI Engineer roles at Atlassian, Razorpay, PhonePe, Postman, Sprinklr, and Walmart Global Tech.
A working stack built around backend systems, AI engineering, and the infrastructure that makes both reliable.
I'm actively looking for SWE roles at product-first companies — ideally in backend, platform, or AI engineering. If you're building something interesting and rigour matters on your team, let's talk.