I am a Ph.D. candidate in computer science at Cornell University, where I am advised by Hakim Weatherspoon. My research interests are broadly in systems and networking, with a focus on networking infrastructure for AI and cloud workloads. My recent work proposes new paradigms for datacenter networking that use optical circuit switches to reduce cost and power consumption compared to existing packet-switched designs.
During my Ph.D., I’ve been fortunate to intern at several wonderful research labs. In summer 2025, I worked with Paolo Costa and others at Microsoft Research Cambridge, towards efficient network design for LLM training and inference. From 2022-23, I worked with Sylvia Ratnasamy and the Google Systems Research Group on traffic engineering for software-defined wide area networks.
Before Cornell, I was a research fellow at Microsoft Research India, working with Muthian Sivathanu and Ram Ramjee. Here, I worked on Varuna, a large-scale distributed training framework for LLMs like GPT and BERT. Earlier, I spent a year in Microsoft’s engineering division earned my undergraduate degree from IIIT Delhi.
Research Interests
- Datacenter Networking
- Systems for ML
- Distributed Systems