Not just a coder who closes tickets — someone who understands the problem, owns the solution, and ships work that matters. That's what I do.
Lavudya Rajaram
ML Eng · Full-Stack Dev
Every project I take on goes to production. From ML models to full-stack apps, I care about deployment, performance, and real-world impact — not just demo-ready code.
I bridge the gap between ML research and product engineering. Need a RAG pipeline with a React frontend and FastAPI backend? That's my default stack.
I don't wait to be told what to do next. I identify problems, propose solutions, and execute — whether remote, hybrid, or on-site. Zero hand-holding needed.
In 6 months of active work I completed 11 certifications, built 15+ projects, and crossed 200+ commits. New stack? Give me a week and I'll be productive.
TypeScript-first, modular architecture, 94%+ test coverage on backend modules. I write code that your team can read, extend, and maintain six months later.
From understanding requirements to deploying and monitoring — I own the full lifecycle. No task-dropping at handoff boundaries. If it breaks, I fix it.
"Rajaram consistently goes beyond what's asked. He understood the recommendation system requirements quickly, proposed improvements we hadn't considered, and delivered ahead of schedule."
Vision AI Research & Org.
ML Internship — June 2024
Fast Delivery
I hit deadlines. Production-ready code, not endless WIP branches.
Sharp Attention
I catch edge cases, UX inconsistencies, and performance bottlenecks early.
Honest Comms
Status updates, blockers, and trade-offs — you'll always know where things stand.
High Motivation
I chose this field because I love it, not because it's safe. That drive shows in my work.
Whether it's an ML system, a full-stack product, or a tough engineering problem — I'm ready to dig in. Let's talk.