About Me

I am a student driven by the intersection of high-performance computing and artificial intelligence. My current focus is on peeling back the layers of abstraction to understand how machines learn and how we can make them learn faster.

Currently, I am deep-diving into Machine Learning architectures, studying Optimization Algorithms and CUDA Architecture.

When I'm not optimizing matrix multiplications, I'm likely exploring open-source contributions or reading papers on the latest advancements in Large Language Models.