Uday Kamath has 25 years of experience in analytical development with a Ph.D. in scalable machine learning. His significant contributions span numerous journals, conferences, books, and patents in AI. Notable books include Large Language Models: A Deep Dive, Applied Causal Inference, Explainable Artificial Intelligence, Transformers for Machine Learning, Deep Learning for NLP and Speech Recognition, Mastering Java Machine Learning, and Machine Learning: End-to-End Guide for Java Developers. Currently serving as the Chief Analytics Officer for Smarsh, his role encompasses spearheading data science and research in Conversational AI. He is also an active member of the Board of Advisors for entities, including commercial companies and academic institutions across the globe.