Post-doc| Purdue University
April 2021 - Dec 2023

I was a post-doctoral researcher at the Purdue University, West Lafayette, USA where I was working at the intersection of Machine Learning, Game Theory and Networked systems under the guidance of Prof. Satish V. Ukkusuri of Lyles School of Civil Engineering and Prof. Vaneet Aggarwal of School of Industrial Engineering. My works were primarily on the theoretical aspects of reinforcement learning (i.e., finding optimal regret, sample complexity, etc.) and their application in transportation networks, social networks and disaster recovery systems. This fruitful collaboration resulted in a lot of publications in prestigious venues such as IEEE Transactions, JMLR, AAAI, AISTATS, etc. One of our works was awarded the best paper award at the Cooperative AI workshop at NeurIPS 2021.
Consultant| Indian Army
Sept 2017 - Oct 2017| New Delhi, India

I was specially invited by the Directorate General of Signal Intelligence, Indian Army to solve a problem of national importance. The problem was solved within one week with deliverable output. The developed product is currently being used by the Signal Intelligence division of Indian Army and according to their report, it is helping them to save the lives of countless soldiers throughout the country.
Quantitative Researcher| WorldQuant LLC
Mumbai, India| July 2016 - Dec 2016
After graduating from college, I worked for a few months as a quantitative researcher at WorldQuant LLC where, as a part of the algorithmic trading team, my responsibility was to develop algorithms, also called Alphas, that can be used to build profitable trading strategies in stock markets. This brief exposure to the trading industry helped me realise that my true calling is in research and academia.
Summer Internship| EPFL
May 2014 - July 2014| Lausanne, Switzerland
In the summer of 2014, I was fortunate enough to work under the guidance of Prof. Tobias J. Kippenberg at the Laboratory of Photonics and Quantum Measurements. I developed a framework for simulating different optical properties of Carbon NanoTube (CNT) in radial mode of vibration.