Tridib Mukherjee defines and drives the Artificial Intelligence and Data Science (AI & DS) strategy in Play Games24x7 across products and business verticals. Games24x7 is a data-driven technology organization with the majority of its products currently in online gaming space. AI/ML is central to this technology vision and Tridib leads a strong multi-dimensional research agenda cutting across Game AI, Process AI, and Content AI while inculcating AI/ML-first approach in end-to-end solutioning. Problems that currently interest him are in the areas of reinforcement learning, bandit algorithms, deep learning, multi-objective optimization, anomaly detection, information extraction and representation, scalable machine learning, POMDP, partially observable stochastic games, and large-scale AI-driven systems.

Earlier, Tridib led the Platforms, Tools, and Technologies research group in Conduent Labs India, formerly known as Xerox Research Center India (XRCI), and drove research on AI for social good around Urban Informatics and Crime Analytics, and Distributed Large-scale Platforms. Tridib’s work on CloudAdvisor, a cloud configuration recommendation system for an enterprise application, won the prestigious IEEE Cloud Cup in 2013.

Prior to joining XRCI, Tridib was a Postdoctoral Research Scholar at Arizona State University where he worked on AI-driven data center optimization and body sensor networks. Tridib has co-authored a book from Cambridge University Press, multiple book chapters, and published 50+ papers in reputed journals and conferences with 1000+ citations. He has 10+ granted US patents in addition to 20+ US patent applications.