I am a Computer Science Ph.D. at NYU Tandon, working with Professors Nasir Memon and Chinmay Hegde. My academic foundation combines Computer Science and Mathematics from BITS Pilani, providing strong analytical skills for complex quantitative problems.

My research focuses on mathematical modeling and algorithmic optimization, with applications in uncertainty quantification, statistical verification, and decision support systems. I develop robust frameworks that combine rigorous theoretical foundations with practical implementations, publishing at premier venues including NeurIPS, ICLR, and IEEE Security.

I'm passionate about creating systems that leverage mathematical principles to solve complex problems across domains. I'm interested in applied ML positions and quantitative research where I can solve practical problems at scale. Please explore my publications and projects to see examples of my work.

Recent posts

GOTCHA Featured in WIRED

less than 1 minute read

Our work on GOTCHA, a real-time deepfake detection system, was featured in WIRED magazine! The article discusses how GOTCHA uses challenge-response verificat...