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 systems and networking, specifically, systems for machine learning. I am interested in both accelerating distributed ML by understanding existing interconnects such as Nvlinks and developing collective communication stacks for promising new interconnects such as silicon photonics. 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. During my undergraduate degree, I was introduced to systems research as an intern at Microsoft Research India. I also spent memorable six months in the industry as an intern at Intuit India during my final semester of undergraduate degree.
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.