Going deep on AI Engineering — LLMs, RAG, agents, vector DBs — on a 5-year full-stack foundation (React, Next.js, Node.js, React Native). End-to-end ownership from architecture to production. Available for serious engineering work where the bar is shipping to real users.

AI Full-Stack Engineer based in Bengaluru — building things that solve real problems. Open to new opportunities.

I build SaaS, AI agents and mobile apps that actually ship — and stand up to real users in production.
5+ years shipping products — now going deep on AI Engineering: LLMs, RAG pipelines, agentic workflows, and vector databases with OpenAI, Claude, Gemini, LangChain and Python.
Full-stack foundation behind it: React, Next.js, Node.js, MongoDB, React Native — deployed on AWS, DigitalOcean and VPS. The combination is the point: I can take an AI idea from prototype to a product real users depend on.
From data analytics in Mizoram to shipping production systems in Bengaluru — a journey through code, scale and product thinking.
End-to-end product engineering — from the first sketch to a scaled, production-ready system. One person, full ownership.
LLM-powered products, RAG pipelines, agentic workflows, and vector-DB retrieval with OpenAI, Claude, Gemini and LangChain.
Production-grade React, Next.js & Node.js — the stack I use to wrap AI work into products real users depend on.
Cross-platform iOS & Android apps with React Native — shipped to stores, used by real customers.
AWS, DigitalOcean, VPS. CI/CD, observability, and infra that doesn't wake you up at 3am.
Scope, design, ship. I take systems from a sketch to live production and stay on the on-call after launch.
Clean interfaces, intuitive flows, and conversion-focused layouts. Design that earns its place in the codebase.
The technologies I reach for daily. Each one chosen because it actually ships great products.
Web · Mobile · Cloud
LLMs · RAG · Agents · Vector DBs
A selection of products I've shipped — across SaaS, real estate, legal and service domains.

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The questions recruiters and hiring managers ask most. Answered here so we can skip them when we talk.
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