I am a first year PhD student in Computer Science at the University of Chicago, advised by Junchen Jiang and Nick Feamster. I am broadly interested in machine learning methods for performance improvement in computer networks. Currently I am investigating how foundational models can be built for network data to learn general network dynamics, and how such models can be shared across specific applications or tasks. I have worked on advances in Software Defined Networking, programmable networks and cloud computing in the past. Additionally I have spent some time working on developing NLP techniques to analyse politcal corpora. I'm fortunate to be additionally supported by the Liew Family Graduate Fellowship. Prior to starting my PhD, I earned my MSc in Electrical Engineering and Information Technology at ETH Zurich and my B.Tech in Electronics and Communication Engineering at VIT Vellore.