Polyglot Systems
Python vs. C++ on Serverless
Benchmarking polyglot microservices on Cloud Run — a deep dive into real-time distributed systems.
Dec 202510 min read
Hey, I'm Mohit 👋
I build AI that ships, write about why, and teach others how.
Forward Deployed AI Engineer at Supervity. I specialize in the "hard parts" of AI adoption — moving beyond the notebook to architect secure, scalable systems for Fortune 500s. The best compliment? "Your code actually works."
$3M+Deals Closed
1000+Devs Mentored
50+Agents Shipped
Full-Stack Template
Open SourceFastAPI + Next.js + PostgreSQL.
Containerized & production-ready.
docker-compose up --build
✓ Backend on :8001
✓ Frontend on :3001
🐍
FastAPI
⚛️
Next.js
🐳
Docker
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About Me
Forward Deployed AI Engineer
I occupy a fun, chaotic space in the developer ecosystem: an undergrad who simultaneously operates as a Forward Deployed AI Engineer for enterprise clients. At Supervity, I get paid to argue with LLMs and make them work in production.
My philosophy is simple: Code > Slides. I don't believe in teaching theory unless I've deployed it. Whether I'm migrating a client from OpenAI to Gemini or helping someone debug a Cloud Run container at 2 AM during a hackathon, my goal is to bridge the gap between "academic theory" and "enterprise reality."
The best compliment? When a prototype I built for a demo becomes the production system that closes a $3M deal. That's happened more than once.
Fun fact: I authored the official walkthroughs for Labs 1-7 at Code Vipassana (ADK, MCP, A2A). I treat these tutorials like production code — they have to work.
What I Do
I Build, Write, and Teach
You don't really understand something until you can teach it. That's why I do all three.
What I Build
Production AI Systems
I build frameworks that fix the things that annoy me about AI. Multi-agent systems, real-time voice AI, RAG pipelines that actually work in production — not just in notebooks.
AIVA
The 'Polite' AI Interviewer
- •Real-time voice with <500ms latency
- •Cloud Run Session Affinity (the WebSocket trick)
- •Native JSON Mode for fair grading
What I Write
Technical Deep Dives
My content exists to bridge the gap between official documentation and reality. I decode complex architectural concepts and turn them into actionable, step-by-step walkthroughs.
AlgoArena 3D
Settling the Speed Debate
- •Turning 'opinions' into 'metrics'
- •P99 latency proof via Cloud Logging
- •Serverless state management patterns
Who I HelpSee my community work
Developers & Teams
I don't just mentor; I teach. And when things break at 2 AM during a hackathon, I'm 'The Unblocker' — the person who stays calm and finds the fix.
Code Vipassana
Technical Lead & Creator
- •1000+ developers mentored
- •Authored Labs 1-7 on ADK & MCP
- •Zero-to-Production tutorials
Latest Writing
All PostsFrom the Blog
Architecture decisions, production war stories, and the lessons that only come from shipping AI that real people actually use.
Cloud Architecture
Solving the 'Uncanny Valley' of Latency
How I combined Cloud Run WebSockets, Gemini 2.5, and hybrid video for sub-second conversational AI.
Nov 202512 min read
Agentic AI
Building an Autonomous Software Agency
Why BigQuery Vector Search and Google ADK are the secret weapons for stateful, production-ready agents.
Oct 202515 min read
Community Impact
Knowledge compounds when you share it.
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.
1000+developers mentored
🔥The Unblocker Moment
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 a resolution process. Everyone deployed their Cloud Run containers that day.
Bangalore, India600+ attendeesGoogle Cloud