About Me

I am an AI/ML Engineer with a PhD background in Topological Dynamics and Ergodic Theory from BITS Pilani. My path from pure mathematics research into applied ML means I approach model design, optimization, and evaluation from first principles — not just from framework documentation. I specialize in building systems where the mathematics is load-bearing: feature engineering grounded in domain theory, loss functions that reflect the actual problem geometry, and evaluation frameworks that catch the failure modes that accuracy scores miss. I also build and ship full-stack AI products — most recently Teachling, a live learn-by-teaching app powered by Vertex AI. I'm currently open to AI/ML engineering and applied research roles.