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Resume (English only)
Academic Achievements
Published multiple journal papers including articles in high-level academic journals such as IEEE JSAC, IEEE Transactions on Information Theory, Journal of Machine Learning Research (JMLR). Participated in significant projects like FemtoCaching: Wireless Content Delivery through Distributed Caching Helpers, AI Explainability 36x toolkit, etc.
Research Experience
Currently a Research Scientist at Google Deepmind India (Bengaluru), part of the Machine Learning Foundations and Optimization Team. Previously, a Research Staff Member with IBM Research AI, NY during 2017-2022 and a Herman Goldstine Postdoctoral Fellow at IBM Research, NY in the period 2016-2017.
Education
Ph.D. in ECE from UT Austin in 2016, advisor was Alex Dimakis; MS degree in Electrical Engineering (2010-2012) from the University of Southern California; B.Tech and M.Tech degrees in Electrical Engineering from IIT Madras in 2010.
Background
Research interests broadly lie in Graph algorithms, Machine learning, Optimization, and Information Theory. Specifically in machine learning, recent focus is on Causal Inference, Foundation Models, Bandits/RL and Explainable AI.