BuildingAISystemsThatShip.

I build AI systems that actually ship - not demos, not prototypes, but production-grade solutions handling real users, real data, and real stakes. Over the past 4+ years at Nagarro Software, I've architected everything from multi-agent orchestration pipelines and RAG-powered enterprise chatbots to computer vision platforms and voice commerce systems serving Fortune 500 clients. My foundation is Generative AI and intelligent automation - I work deepest in the space where LLMs meet real-world constraints: latency budgets, accuracy thresholds, cost ceilings, and enterprise security requirements. I've delivered high-impact systems across retail, e-commerce, and enterprise SaaS, consistently at a scale most engineers only read about. On the technical side, I move fluidly across the stack - Python and FastAPI on the backend, LangChain, LangGraph, and Google ADK for agent orchestration, React and Next.js on the frontend, and AWS, GCP, and Azure for infrastructure. What sets my work apart isn't just the stack though - it's the obsession with getting AI from proof-of-concept to production without losing what made the prototype exciting. I'm also deeply hands-on with the tooling shaping how AI gets built right now: MCP server development, Claude Code workflows, prompt caching strategies, and LLMOps practices that keep models performant and costs sane at scale.