I close enterprise deals with Fortune 500s and mentor developers at Google hackathons.
Global Principal Engineer at Supervity. I bridge the gap between boardroom strategy and hackathon execution — because AI that works in production requires both.
Boardroom strategy, hackathon execution.
I operate at two extremes of the AI ecosystem: partnering with CFOs, CTOs, and business leaders at enterprises like AMD, the Adani Group, and Fortune 500s worldwide to shape AI strategy — while mentoring hundreds of developers at Google hackathons and Code Vipassana events. As Global Principal Engineer at Supervity, I ship AI that works in production for both boardrooms and individual developers.
My philosophy is simple: Demo > Deck.
Whether I'm driving the AMD engagement or debugging at 2 AM during a hackathon, I bridge academic theory and reality. The best compliment? When an executive says “your solution closed the deal” and a developer says “your walkthrough actually worked.”
The Unblocker — at BNBM 2025 Bangalore, 600+ developers hit a critical GCP quota issue. I took the stage, diagnosed the IAM bottleneck live, and got everyone deploying again. That's the kind of problem-solving I live for.
I build, write, and teach.
You don't really understand something until you can teach it. That's why I do all three.
From C-suite to first-time builders
From CFOs and CTOs at enterprises like AMD and the Adani Group to developers at their first hackathon — I work across the entire spectrum. At Supervity I close enterprise deals; at Google events I unblock developers. Both teach me something new.
Enterprise partnerships (AMD, Adani, Fortune 500s) · 1000+ developers mentored · 30+ teams guided at Google Hackathon Mumbai.
See my achievementsTeaching & mentorship
You don't truly understand AI until you can explain it to someone building their first agent. I mentor at Google hackathons, lead Code Vipassana labs, and write walkthroughs that treat tutorials like production code.
Code Vipassana — Technical Lead & creator. Authored Labs 1–7 (ADK, MCP, A2A) for 1000+ developers.
Read my tutorialsProduction AI systems
From enterprise AI for Fortune 500s to frameworks that help developers ship faster — multi-agent systems, real-time voice AI, and RAG pipelines that actually work in production.
AIVA — the “polite” AI interviewer. Real-time voice at <500ms, Cloud Run session affinity, native JSON-mode grading.
View all projectsSystems built to ship.
Architecture, war stories, lessons.
Python vs. C++ on Serverless
Benchmarking polyglot microservices on Cloud Run — a deep dive into real-time distributed systems.
Solving the 'Uncanny Valley' of Latency
How I combined Cloud Run WebSockets, Gemini 2.5, and hybrid video for sub-second conversational AI.
Building an Autonomous Software Agency
Why BigQuery Vector Search and Google ADK are the secret weapons for stateful, production-ready agents.
Knowledge compounds when you share it.
There's a specific joy in taking a complex, bleeding-edge feature and breaking it down until a room full of tired developers nods in understanding.
BNBM 2025, Bangalore
During the Build N Blog Marathon, developers hit a critical blocking issue with GCP quotas and IAM access for GPUs. I didn't wait for support — I took the stage, diagnosed the IAM bottleneck live, and guided the entire room through resolution. Everyone deployed their Cloud Run containers that day.