I am an incoming Research Scientist at Google. At Google I will be working on time-series problems and bandit based black-box optimization.
I was an Applied Scientist at Amazon Search till November 2020. At Amazon, I was a part of team MIDAS lead by Inderjit Dhillon where I was fortunate to collaborate with Sujay Sanghavi, Arya Mazumdar, Alexander Rakhlin and Lexing Ying. I worked on various topics including extreme multi-label learning for search and contextual bandit problems with enormous number of arms.
I received my Bachelors degree in ECE, IIT Kharagpur in 2013. I have spent most of my childhood in Durgapur and Kolkata, West Bengal, India.
Over the course of my PhD, I have been lucky to work with excellent collaborators on a variety of problems in the areas of bandit problems [A,B,C], statistical testing [A,B,C], black-box optimization with applications to hyper-parameter tuning [A], queuing systems with learnable parameters [A] and GANs [A]. Here is my resume.
PhD in Machine Learning, 2019
The University of Texas at Austin
B.Tech. in Electronics and Electrical Communications Engineering, 2013
Indian Institute of Technology, Kharagpur