Published multiple papers including 'NetVigil' (NSDI'24), 'NeMoCopilot' (HotNets'23), 'MashAgent' (SIGMETRICS'26), 'Complete Communication Graph' (HotNets'23), 'Role-based micro-segmentation' (NSDI'25), 'Non-IID data' (ICML'20), 'FedDrift' (AISTATS'23), 'Matchmaker' (MLSys'22), 'Ekya' (NSDI'22), and 'RECL' (NSDI'23).
Research Experience
Principal Researcher at Microsoft Research in Redmond, working on various projects such as secure east-west traffic with zero-trust networking principles, GNN-based anomaly detection, natural-language-based network management, and more.
Education
Received his Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University.
Background
Research interests lie broadly in the intersection of artificial intelligence (AI) and systems/networking, particularly in network security and management, federated and decentralized learning, and mitigating data drifts in machine learning.