Architecting intelligent systems through advanced Deep Learning and Generative AI research. Focused on bridging the gap between theoretical ML and scalable real-world automation.
I've always been driven by the how behind the screen — a curiosity that started with wondering how game characters move and grew into building apps from scratch, long before AI could lend a hand. The real inflection point came in a college lab, watching a model generate its first lines of code. That moment crystallized everything: I wanted to build the systems doing the generating, not just use them.
Tactical planning with high-velocity iteration — ship the MVP, break it, refine until it's right. That means multi-agent systems and RAG pipelines that are technically rigorous and actually go to production.
When I'm not deep in an agentic workflow, I'm dissecting the footwork of a P4P boxer, playing some chords on my guitar, singing my lungs out, or getting a morning session in at the gym.
Developed a campus navigation system for Sathyabama University — built on Flutter and Mapbox GL with AR overlays via ARCore and Unity. Two purpose-built databases: raw GPS coordinates physically surveyed across every campus POI, and a structured campus POI database covering blocks, labs, departments, library, auditorium, and facilities. All routes were manually constructed in Mapbox Studio using a CAD campus map as reference. Live in-house deployment, passed for continued development.
Currently open to AI research opportunities, ML engineering roles, applied AI and AI product positions, and collaborative projects that push boundaries.
