Multiple papers accepted to prestigious conferences such as ML for Systems Workshop at NeurIPS ‘25, HotNets’25, EuroSys’26, ACM Symposium on Cloud Computing 2025, and more. Involved in research on joint learning for hardware caching and prefetching, using LLMs to generate instance-optimal policies (PolicySmith), integrating verification in the learning of congestion controllers, and other projects.
Research Experience
Conducts research at the UT Networked Systems (UTNS) lab and collaborates closely with researchers at the LDOS project, working on building next-generation Operating Systems. Served as a Research Intern at Microsoft's Systems Innovation group.
Education
Ph.D.: Department of Computer Sciences, University of Texas at Austin, advised by Prof. Aditya Akella; B.S.: Computer Science and Engineering, Indian Institute of Technology, Delhi.
Background
Graduate student at the Department of Computer Sciences, University of Texas at Austin. Broadly interested in Systems and Networking. PhD research focuses on achieving Performance Robustness for computer systems by combining ideas from Machine Learning, Optimization, Programming Languages, and Formal Methods. Previously an undergraduate majoring in Computer Science and Engineering at the Indian Institute of Technology, Delhi.