About me

Hi! I am a Ph.D. student at Cornell University, advised by Prof. Chris De Sa and Prof. Udit Gupta. I work at the intersection of Systems and ML to optimize across the stack for efficient large-scale and on-device learning. Prior to being a graduate student, I was a Pre-doctoral Research Fellow at Microsoft Research India, working with Dr. Ramachandran Ramjee and Dr. Akshay Nambi. I graduated in 2021 from IIT Gandhinagar with a Major in Electrical Engineering and a Minor in Computer Science and Engineering.

Latest News

  • 26/08/2024 : Started Ph.D. at Cornell University!
  • 07/02/2024 : “Just in Time Checkpointing” has been accepted at EuroSys’24!
  • 15/12/2023 : Attended NeurIPS 2023 in New Orleans and presented my work at TCCML workshop.
  • 17/11/2023 : Received travel grant from CCAI to attend NeurIPS 2023.
  • 19/10/2023 : Submitted my “Just in Time Checkpointing” work to EuroSys, 2023.
  • 01/08/2023 : Joined the FlexFlow project (a distributed DNN training accelerator framework by researchers at Stanford and CMU).