I build fast, scalable
ML systems from first principles.

I am a student of everything around me. Coming from Palanpur, Gujarat, and a college far from the spotlight, the path into technology wasn’t paved for me. I realized early on that knowledge would not be handed to me; I would have to seek it, break it down, and make it my own. Everything I have built, from the fundamentals of OS-level virtualization to the intricate pathways of GPU kernel optimization, is born of that relentless curiosity.

My strength is not loud. It lives in the quiet space of focus, in the willingness to sit with complexity until it yields. I believe the finest systems are built not by stacking APIs, but by deconstructing them. While my hands write C++, CUDA, and Go, my mind is constantly searching for ways to simplify the complex, translating the intricate dance of memory layouts and tensor core partitions into ideas everyone can understand.

I don't just use tools; I deconstruct them. Whether I am writing a custom autograd library, programming container runtimes from scratch, or tuning an algorithm to squeeze performance from hardware, I am guided by a singular pursuit: to touch the mechanical reality of compute and understand the why behind the how.

I am a student of code, of math, of systems, and of life. I spend my hours in these worlds not out of pressure, but out of passion. I keep learning, reading, and building, because to me, it is the only way to grow.

Along the way, I draw quiet inspiration from the thinkers and builders who dared to see the world differently: Srinivas Ramanujan, Vikram Sarabhai, Albert Einstein, and Elon Musk. :)