A curious mind exploring the intersection of
Computation and Machine Intelligence.

I am a student of everything around me. Coming from Palanpur, Gujarat , and a college far from the spotlight, the path into tech wasn’t already paved for me. I realized early on that knowledge would not be handed to me; I would have to take it. Everything I know—from the fundamentals of OS-level virtualization to the complexities of AI inference and GPU kernel optimization—is the result of relentless self-learning.

My strength is not loud; it lives in my curiosity and my willingness to keep going when things get complex. I believe the best work comes from a place of genuine curiosity. While my core expertise lies in low-level systems programming using C++, Go, and CUDA, my true passion lies in simplifying complexity. I actively work to break down templated memory layouts and tensor core partitions into accessible technical blogs.

Currently, I am an ML Systems Engineer and a Master’s student in Data Science. Because I had to teach myself the foundations, I don't just use tools—I deconstruct them. Whether I am writing custom autograd libraries, programming container runtimes from scratch, or adapting architectures to strict hardware constraints, I am driven by a single goal: to understand the "why" behind the "how."

I am a student of code, of math, of systems, and of life. Work occupies most of my time, not out of pressure but out of passion. Whether I am optimizing pipelines for real-world interactions or pushing the limits of the GPUs, I keep learning because it is how I grow.

Along the way, I draw inspiration from legendary thinkers and builders like Srinivas Ramanujan, Vikram Sarabhai, Albert Einstein, and Elon Musk. :)