Rajarshi has deep commercial, technical and research expertise in a wide range of areas in Artificial Intelligence (AI) and Machine Learning (ML) including Deep Learning, Reinforcement Learning, Autonomous multi-agent systems, BlockChain, Game theory and E-commerce. He has designed, implemented and demonstrated machine learning systems that automatically discover insights into complex systems from high-volume and high-dimensional data. He has also designed several self-learning autonomous systems that train themselves for intelligent decision-making in complex, dynamic real-world environments.

Over the last 25+ years Rajarshi has played a key role in leading ML research and its applications at FatBrain.ai, Persistent Systems, Verdande Finance, IBM Watson Research, Los Alamos National Laboratory and Santa Fe Institute.