I'm a Computer Engineering student who builds things that sit at the intersection of ML, fullstack, and DevOps. I like problems that are messy in the right way — the kind where there's no obvious tutorial to follow.
Currently open to remote roles in fullstack, ML engineering, or DevOps.
- 🤖 AI agent training environments — designing RL-style benchmarks for realistic, high-value tasks (email triage, complaint classification)
- 🌐 Fullstack apps — shipping end-to-end from React frontends to FastAPI backends to cloud deployment
- ☁️ DevOps pipelines — Dockerizing everything, thinking about infra from day one
An RL environment that trains AI agents to handle real email workflows — spam detection, urgency prioritization, and reply drafting. Three difficulty tiers with a dense reward function. Tested against gpt-4o-mini. Fully Dockerized.
Python FastAPI Docker RL/AI Agents
Full-stack ML app: consumers submit complaints, the system classifies them and predicts priority in real time. TF-IDF + scikit-learn on the model side, React + FastAPI + MongoDB on the product side.
Python scikit-learn FastAPI React MongoDB Docker
💬 Chat App
Real-time chat application, live on Vercel.
TypeScript React · Live demo →
| Domain | Tools |
|---|---|
| Languages | Python, TypeScript, JavaScript |
| Frontend | React, Vite |
| Backend | FastAPI, Node.js |
| ML / Data | scikit-learn, Jupyter, TF-IDF, RL environments |
| DevOps / Cloud | Docker, Docker Compose, Vercel |
| Databases | MongoDB |
- I'm based in Ahmedabad, India — fully comfortable working remotely across time zones
- I prefer building things that solve actual problems over polishing toy projects
- I think good DevOps is just good engineering — not an afterthought
If you're hiring for remote roles in fullstack, ML, or DevOps — or just want to talk about something interesting you're building:
📬 [Your email here] 💼 [Your LinkedIn here]
Always building. Always open to interesting problems.