About me

I am a Ph.D. candidate in the Computer Science Department at Northwestern University, advised by Dr. Xiao Wang. My research focuses on applied cryptography, particularly secure multiparty computation (MPC). I am passionate about developing efficient, scalable MPC solutions for real-world applications and about making MPC accessible to developers of all skill levels.

My work includes designing and implementing scalable mixed-mode MPC protocols that support up to 100 parties. Additionally, I have developed an MPC compiler named Smaug, built as a modular augmentation of LLVM, designed to maximize MPC efficiency without burdening programmers. I recently completed a research internship at Meta (AI4Crypto) with Kristin Lauter, where I worked on using neural networks to attack the expand-accumulate LPN. I am also developing threshold signature schemes compatible with standardized post-quantum signatures and working on certifiable noise mechanisms for differential privacy.

I received my B.Tech. in Computer Science from the Indian Institute of Technology Roorkee in 2022.