I am a Senior Research Scientist at J.P. Morgan AI Research and the J.P. Morgan AlgoCRYPT Center of Excellence. My research sits at the intersection of Cryptography and Machine Learning, with a focus on designing and building privacy-enhancing technologies (PETs) for AI/ML systems. Some of my current research has revolved around privacy-preserving federated learning, secure aggregation, and multi-agent systems. 

I earned my Ph.D. in Computer Science in 2022 from New York University under the guidance of Yevgeniy Dodis, with a dissertation titled “Cryptography: From Practice to Theory.” During my doctoral studies, I also spent a summer as an Associate at J.P. Morgan AI Research, collaborating with Antigoni Polychroniadou on privacy-preserving consensus.

Before my Ph.D., I received a Master of Science in Computer Science from Columbia University in the City of New York, where I worked with Allison Bishop. I hold a B.Tech (First Class with Distinction) in Computer Science and Engineering from NIT Trichy, where I was advised by Kunwar Singh and worked on a project guided by C. Pandu Rangan.

In industry, I have experience as a Summer Intern at Amazon in Seattle (2016), where I worked on the Zeitgeist (Bestseller) team to develop a machine learning–based trending algorithm for consumption data. 

Also, my pronouns are He/Him/His. Why is this here?