I graduated with a PhD in Computer Science at UC Davis with Prasant Mohapatra and Prabhu RV Shankar. My PhD research lied in the domain of denoising diffusion models.

I interned at Intel for the 2023 calendar year as a Core-OS intern working on memory access tracking and in Summer 2024 as a ML Hardware intern. In fall 2021, at Garrett Motion, exploring EV charging protocols. In the summer of 2020, I interned with Sean Peisert at Berkeley Lab working on privacy-preserving Machine learning.

I researched edge computing paradigms during my undergrad with Sudeep Tanwar at Nirma, focusing on body area networks. During internships, I worked on a pregnancy chatbot, gait analyzing and stroke detection using facial recognition.

I was a core participant and a Graduate Research Fellow at IPAM, UCLA, for the long program on Mathematical Challenges and Opportunities for Autonomous Vehicles, where I was a part of the working group focusing on Perception, Control, and Safety of Machine Learning for AVs.

Please contact me to know more about my work post-PhD.

Curriculum Vitae | Google Scholar