Professional Summary
I am a PhD student in Computer Science at Indiana University Indianapolis, focusing on cryptography, privacy, and trust-minimized computation. My research explores how Secure Multiparty Computation (SMPC) and post-quantum cryptography can be applied to enable secure collaboration and data sharing in decentralized and federated environments.
Before starting my PhD, I gained professional experience at Venture23, Sireto Technology, and Nethermind, working across blockchain ecosystems and applied cryptography. My broader goal is to design protocols and systems that preserve privacy while remaining practical and efficient for real-world deployment.
Education
PhD Computer Science
Indiana University Indianapolis
BE Computer Engineering
Pulchowk Campus, TU
Interests
I am working on Trust minimization on a single party using Cryptography. Secure multiparty communication protocols help to minimize the trust on one single entity and distribute it among the participating entities. It can find its application in fields like Federated Learning but the cost of communication and computation in the devices increases. Is it possible to optimize the computation burden to a negligible level that users readily trade for enhanced trustlessness?
On the other hand, I constantly keep up with new algorithms that are being developed and standardized as a part of defense against quantum computers. Most of these cryptosystems are based on Lattices and problems on Lattices. However, while being resistant to the quantum computers’ attack, they can become vulnerable to other side channel attacks. I am actively working on identifying such attacks and defenses.