About Me

• Hi, I am Ph.D. candidate in the Department of Electrical and Computer Engineering at UIUC advised by professors R Srikant and Rasoul Etesami. My research is focused on enhancing Trustworthy AI by developing frameworks to evaluate and enhance model safety, mitigate privacy risks, and improve explainability.
• I am currently working on developing approximate algorithms with provable guarantees for Partially Observable Reinforcement Learning (PORL) with a specific focus on applications in Inventory Control Systems and Robotics. I have also worked on designing data markets to model the privacy-utility tradeoff in differentially private training of machine learning models. Recently, I also worked with NVIDIA on developing an interesting LLM unlearning algorithm.
• Before joining UIUC, I worked as a quantitative researcher in the high-frequency equities team at Quadeye Securities, where I designed profitable and efficient algorithmic trading strategies using finance, statistics, and machine learning.
• I completed my B.Tech (with honors) in Electrical Engineering with a minor in Computer Science and Engineering from IIT Bombay. During my undergrad, I worked in compressed sensing and radar signal processing.

Updates

• October, 2025: Paper titled Scalable Policy-Based RL Algorithms for POMDPs is accepted at NeurIPS 2025.
• August, 2025: Completed a 6 month internship on Trustworthy AI at NVIDIA.
• April, 2025: Received Robert T Chien Memorial Award by UIUC for excellence in research.
• September, 2024: Paper accepted for invited talk at IEEE Conference on Decision and Control, 2024, Milan.
• March, 2024: Received the prestigious James M. Henderson fellowship.
• October, 2023: Passed my Qualifying Exam!
• August, 2022: Started my journey as a PhD student at the University of Illinois Urbana Champaign
• June, 2021: Started working as a Quantitative Researcher in the High Frequency Equities team at Quadeye Securities
• August, 2020: Received the Institute Technical Special Mention for contributing to the technical sphere of IIT Bombay through my affiliation with the IITB Mars Rover Team
• March, 2020: Journal paper titled “Generalized Fractional Ambiguity Function and Its Applications” was accepted to Circuits, Systems and Signal Processing, Springer (CSSP)
• February, 2020: Paper titled “Generalized Fractional Matched Filtering and Its Applications” was accepted to the National Conference on Communications, 2020. (NCC 2020)
• December 2019: Received IRCC award for contribution to research in the field of Radar Signal Processing.
• June, 2019: Received the Undergraduate Research Award (URA-01) for contribution to the development of indigenous MRI technology being developed at IIT Bombay