const me = { role: "AI product engineer", based: "Bengaluru" }I build things that sit at the intersection of AI and product — agents that actually ship, pipelines that handle real data, and interfaces people use without thinking about them. Currently exploring what it means for developer signals to actually mean something.
conversational AI agents embedding pipelines voice AI (ElevenLabs) resume tagging + search (Qdrant) n8n → Python migration (97% faster) Next.js + Supabase full-stack apps
stack: React TypeScript Python Tailwind CSS AWS Gemini LLM MongoDB REST APIs CI/CD
three national-level hackathon podiums in 2024 — because apparently I do this under pressure too.
🥇 CodeSprint 2.0 — Winner · Nitte Meenakshi Institute of Technology
🥉 amBITion 24hr National Hackathon — 2nd runners-up · Bangalore Institute of Technology
🥉 National Social Hackathon 2024 — 2nd runners-up · CMR Institute of Technology
Good engineering is mostly about what you choose not to build.
Real user feedback > any design review.
Simple systems that work beat clever ones that don't.
The best AI products are the ones users forget are AI.