About

I've pioneered techniques for handling data imbalance in federated learning (Fed-Focal Loss) and optimizing communication efficiency (CatFedAvg), contributing to privacy-preserving distributed machine learning. My recent work extends into Web3, developing protocols for decentralized physical infrastructure networks (DePIN), MEV mitigation in Ethereum, and multi-rollup composability.

With 25+ provisional patent applications filed with the Indian Patent Office and multiple peer-reviewed publications, I bridge theoretical advances with real-world implementations. As author of the Nginx implementation cookbook, I've contributed to widely-deployed infrastructure. Throughout my career at companies like Hike and Nykaa, and through founding Cryptuon Research, I've architected systems serving hundreds of millions of users while advancing the state of the art in ML and blockchain technology.