- Leveraging machine learning to automatically derive robust decision strategies from imperfect models of the real world (2022 Preprint).
- Leveraging Machine Learning to Automatically Derive Robust Planning Strategies from Biased Models of the Environment (CogSci 2020).
Research Experience
- Member of Technical Staff, Edgeverve Systems Ltd. (Nov 2020 – Present), designing and implementing the new microservices architecture for payments in Finacle.
- Bachelor’s Student Intern, Max Planck Institute for Intelligent Systems (Jan 2020 – Aug 2020), Tübingen, Germany.
- Mitacs Globalink Research Intern, University of Alberta (May 2019 – Jul 2019), Edmonton, AB, Canada, project involved using ML methods to predict the performance of workloads on different virtual machines.
- Undergraduate Research Assistant, BITS Pilani (Aug 2018 – May 2019), assisting on projects related to NLP and Computer Vision.
- Analytics Intern, Happiest Minds Technologies (May 2018 – Jul 2018), Bengaluru, India, developed an end-to-end system that generated highlights from videos of soccer matches.
Education
BE in Computer Science, 2020, Birla Institute of Technology & Science (BITS), Pilani
Background
Primarily interested in the field of reinforcement learning (RL) and its real-world applications. For my undergraduate thesis in this domain, I was fortunate enough to have been advised by Dr. Falk Lieder at Max Planck Institute for Intelligent Systems.
Miscellany
Interests: Reinforcement Learning, AI for Social Good, Algorithmic Robotics.