I am a Ph.D. candidate in the department of Computer Science at Cornell University where I am advised by Rachee Singh. My research spans both systems informed by current electrical interconnects and by emerging silicon photonics interconnects for ML accelerators. Specifically, my systems focus on addressing the memory capacity bottleneck and GPU resource underutilization by co-designing LLM inference engines with the scale-up network interconnecting GPUs (e.g., Nvlinks). Remaining projects in my thesis focus on addressing the interconnect bandwidth bottleneck in large direct-connect ML scale-up clusters (e.g., TPUs) using reconfigurable photonic fabrics. By reconfiguring the interconnect fabric, my systems (1) maximize the inter-accelerator bandwidth and (2) achieve near optimal collective communication performance. I am supported by the Bowers CIS-LinkedIn grant for the academic year 2024-2025.
Before joining Cornell, I had a wonderful time in the Systems group at Microsoft Research India. Here, I was advised by Dr. Muthian Sivathanu and Dr. Saikat Guha while working on mobile networks and storage stack for deep learning frameworks.Prior to that, I obtained my undergraduate degree in Information Science and Engineering from PES University, Bengaluru.
You can find my CV here: [PDF].
In my free time, I like to run 5Ks on this track, eat chaats with friends and play RPG games on PS5. My personal favorite is Dragon Ball Z sparking zero.