About me

I am currently pursuing a Dual Degree (B.Tech and M.Tech) in Electrical Engineering and a Minor in Computer Science at IIT Bombay. My concentrations are in probability, controls, and AI.

My thesis work is on sequential decision making problems that use variants of the Multi-Armed Bandit or more generally the Markov Decision Process (MDP) framework. My thesis advisor is Prof. Sharayu Moharir.

While my thesis project focusses on mathematical modeling and analytical guarantees, I have also worked with Dr. Leena Vachhani on video-stabilization for a surveillance robot, and with Prof. Shivaram Kalyankrishnan on sample-efficiency in both model-based and model-free reinforcement-learning.

During my undergrad I have interned at Sysmex Central Research Laboratories in Kobe, Japan and Cradlewise Inc. Bangalore.

Dec 2020: Our work on Correlated Age-of-Information Bandits has been accepted at IEEE WCNC 2021
Nov 2020: An online presentation for our work on Correlated Age-of-Information Bandits is now available
Oct 2020: Submitted our work on Correlated Age-of-Information Bandits to WCNC 2021
Oct 2020: Participated in the MIT Hacking Medicine Health-Tech virtual Hackathon
Aug 2020: I will be a teaching assistant for EE229 - Signal Processing during Autumn 2020 under Prof. Animesh Kumar
June 2020: Received a perfect 10/10 GPA for the Spring 2020 semester
Jan 2020: Received the Best Poster Award at COMSNETS 2020
Dec 2019: Paper titled "A New Approach to Correlated Multi-Armed Bandits" accepted at COMSNETS 2020, Bangalore