AI & ML Engineer building systems that make it out of the notebook.
I build machine learning systems that make it out of the notebook. My work spans medical imaging, IoT agriculture, and cheminformatics — and in each case the goal was the same: a model someone can actually run, with output they can actually trust.
That means pairing a 93%-accuracy CNN with Grad-CAM++ so a radiologist can see what it looked at, or wiring live ESP32 soil sensors to a Flutter app in nine Indian languages so the farmer reading it isn't forced into English. Contributor to two patent-filed innovations, GATE CSE 2025 qualified, and top 38 of 193 teams at Smart India Hackathon 2025.
Three systems taken from problem statement to something runnable.
Soil-health guidance most Indian farmers can't get: live ESP32 sensor readings turned into plain-language fertiliser advice, delivered in the language they actually speak.
A CNN that flags osteoporosis in X-rays at 93% accuracy — and shows the radiologist exactly which region drove the call, because an unexplained diagnosis is not a usable one.
Predicts likely side effects straight from a molecule's structure, letting researchers screen compounds computationally before committing to lab time.
Open to internships, collaborations, and interesting problems.
