Python vs. C++ on Serverless
Benchmarking polyglot microservices on Cloud Run — a deep dive into real-time distributed systems.
Hey, I'm Mohit 👋
Senior Forward Deployed AI Engineer at Supervity. I bridge the gap between boardroom strategy and hackathon execution — because AI that works in production requires both.

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. At Supervity, I ship AI that works in production for both boardrooms and individual developers.
My philosophy is simple: Code > Slides. Whether I'm driving the AMD engagement or helping someone debug 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.
You don't really understand something until you can teach it. That's why I do all three.
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 & Community
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 create walkthroughs that treat tutorials like production code.
Technical Lead & Creator
From enterprise AI systems for Fortune 500s to frameworks that help developers ship faster — I build solutions that scale across both contexts. Multi-agent systems, real-time voice AI, and RAG pipelines that actually work in production.
View all projectsProduction-ready templates and frameworks that save you the "Day 0" headaches.
FastAPI + Next.js + PostgreSQL.
Containerized & production-ready.
Architecture decisions, production war stories, and the lessons that only come from shipping AI that real people actually use.
Benchmarking polyglot microservices on Cloud Run — a deep dive into real-time distributed systems.
How I combined Cloud Run WebSockets, Gemini 2.5, and hybrid video for sub-second conversational AI.
Why BigQuery Vector Search and Google ADK are the secret weapons for stateful, production-ready agents.
You don't truly understand Cloud Architecture until you can explain it to a room full of tired devs. There's a specific joy in taking a complex, bleeding-edge feature and breaking it down until a room full of developers nods in understanding.
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 a resolution process. Everyone deployed their Cloud Run containers that day.