Souradip Chakraborty


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I am Souradip Chakraborty, currently a 1st year Computer Science PhD student at the University of Maryland, College Park from Fall 2021. My current research focusses on the Theoritical and Practical aspects of Deep Reinforcement Learning especially from a Representation learning viewpoint with a special emphasis on learning State Abstraction. My research also explores Sample-efficient and Safe Model-based reinforcement learning under Uncertainty, noisy-settings and Sparse rewards scenarios. I am also extremely interested in designing Sample-efficient High Dimensional Gaussian Processes and believe that can pave the pathway for Self-Supervised Representation Learning

In the past I have worked as a Research AI Scientist at Walmart Labs, India after completing my Masters from the Indian Statistical Institute in 2018 summa cum laude and Bachelors in Electronics & Electrical Engineering from Jadavpur University, India in 2014. Recognised by Google as a Google Developer Expert in Machine Learning for my open-source contributions & mentorships in the field of AI and ML.

Co-authored several US patents and top-tier publications (COLING, ICPR, ICDM, SIGIR) in the field of AI & ML applications in NLP and Computer Vision domain. Selected as the Youngest Technical Speaker for the very prestigious Data Hack Summit’2019 and 2018 by Analytics Vidhya. Currently,I am also a Thesis Supervisor for students at upGrad’s online Master’s Program in Data Science as well as Machine Learning with Liverpool John Moores University (LJMU)

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