PRIVATEEDIT: A Privacy-Preserving Pipeline for Face-Centric Generative Image Editing
IEEE Transactions on Artificial Intelligence (TAI)
I am a Research Scientist at Meta. My research interests include trustworthy foundation models, including preference optimization and test-time alignment for LLMs, privacy-preserving generative AI, and applications in healthcare and genomics.
I completed my PhD in Electrical and Computer Engineering at Purdue University in 2025, advised by Prof. Vaneet Aggarwal, where I worked on trustworthy and generative AI. During my PhD, I interned at Meta (2024) and at Amazon Robotics as an Applied Scientist Intern (2023). Earlier, I worked at AWL Inc. on self-supervised learning for object detection.
I finished my undergrad at IIT Bombay with a major in Electrical Engineering and a minor in Computer Science, where I conducted research with Prof. Biplab Banerjee and Prof. Subhasis Chaudhuri. During my undergrad, I also conducted research at the Vision and AI Lab (VAL), Indian Institute of Science, Bengaluru, with Prof. R. Venkatesh Babu; at UC San Diego with Prof. Pengtao Xie; and at the Visual Artificial Intelligence Laboratory (VAIL) at Oxford Brookes University with Prof. Fabio Cuzzolin.
Journey







Recent
Alignment · Privacy · Trustworthy AI
275 citations · h-index 9 · i10-index 9 — Google Scholar (updated ).
IEEE Transactions on Artificial Intelligence (TAI)
Transactions on Machine Learning Research (TMLR)
Findings of the Association for Computational Linguistics (ACL Findings)
IEEE Journal of Biomedical and Health Informatics (JBHI)
International Conference on Machine Learning (ICML)
Recognition