About me

Hi! I am 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.

I envision eliminating barriers in using ML systems, which can enable its ubiquitous interactions to solve real-world problems both in distributed and edge settings.

I am currently looking for PhD opportunities to pursue research in fields stated below

My interests

Collaborative interactions of Systems and Machine Learning can advance both fields beyond their independent evolution and enable unprecedented high-impact computing applications. For instance, optimized inference serving and quantization can enhance the usage experience of LLMs, while learning efficient computation parallelization strategies can increase hardware utilization, reducing cost per compute. Driven by the motivation to harness this potential, my research interests broadly span:

  • Systems for ML
  • ML for Systems
  • Theoretically-grounded solutions for ML systems challenges
  • Optimization for distributed/collaborative learning
  • Novel algorithms/architectures for foundational models
  • Networks for distributed/collaborative learning

Latest News

  • 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).