Summary
Souradip Chakraborty is a PhD student and research intern specializing in robustness, uncertainty, and generalizability of deep reinforcement learning, with eight years of industry and research experience spanning Walmart Labs, Chase, ANZ, and Google. He combines a strong applied background in explainability, de-biasing, and neural information retrieval with hands-on work in multiagent LLM alignment and provable inference-time guarantees. His contributions range from production-focused solutions for recommendation and search to theoretical and empirical work on RL robustness, underscored by a provisional patent on non-convex optimization from his Walmart work. A former Google Developer Expert in Machine Learning and frequent conference speaker, he blends academic rigor with practical impact and cross-disciplinary fluency in statistics, time-series, and computer vision. Based in Bengaluru, he brings a rare mix of deep engineering, research pedigree, and experience shipping ML systems at scale.
7 years of coding experience
4 years of employment as a software developer
High School, High School at Nava Nalanda High School
Bachelor of Engineering - BE Instrumentation and Electronics Engineering, Bachelor of Engineering - BE Instrumentation and Electronics Engineering at Jadavpur University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Maryland
Master’s Degree Data Science and Quality Management Science, Master’s Degree Data Science and Quality Management Science at Indian Statistical Institute, Kolkata
English, Bengali, Hindi