My research focuses on trustworthy and privacy-preserving machine learning, including privacy-enhancing technologies (PETs) such as federated learning, homomorphic encryption, zero-knowledge proofs, and secure multi-party computation. More here.

I am also an Honorary Research Fellow (visiting academic) at the University of Warwick, UK, working closely with the Secure Cyber Systems Research Group (SCSRG) in WMG.

I was previously (2023-25) a Research Associate at the Alan Turing Institute, London, fortunate to work with Prof. Carsten Maple and Prof. Graham Cormode. I contributed to impactful research with global organizations particularly:

• HSBC: Practicable data sharing across borders
• Bill & Melinda Gates Foundation: Trustworthy Digital Infrastructure for Identity Systems

I received my Ph.D. in Computer Science from IIT Patna, India in 2023, under the supervision of Prof. Somanath Tripathy. My thesis focused on security and privacy in federated learning. Prior to that, in 2016, I finished my Bachelor of Engineering at VIIT Pune, in Computer Engineering. I was working with Prof. Shailesh Thaware, for my undergraduate project on an Android-based attendance system.

Before diving into academia, I spent a couple of years (2016-19) in industry, working as a Software Engineer at Diebold Nixdorf, Mumbai. I was part of the team, developing solutions for cardless and contactless ATM transactions, and streamlining DevOps workflows for large-scale financial systems. This experience gave me a solid foundation in building secure, real-world systems — something that continues to influence my research on trustworthy and privacy-preserving technologies.

I'm someone who's always been curious about the world - how things work, why people do what they do, and how we can make sense of it all. I enjoy thinking, learning new things, and creating systems that (hopefully) make life a little better.

"We harvest (reap) what we plant (seed) — study for knowledge, exercise for health, love for love and ..."

[📄 View My CV]