Uday Kamath has over two decades of experience developing analytical products and has expertise in statistics, optimization, machine learning, deep learning, natural language processing, and evolutionary computing. With a Ph.D. in scalable machine learning, Uday has made significant contributions that have extended across numerous journals, conferences, books, and patents. Notable works by Uday include Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning, Transformers for Machine Learning: A Deep Dive, Deep Learning for NLP and Speech Recognition, Mastering Java Machine Learning, and Machine Learning: End-to-End Guide for Java Developers. He has held significant leadership positions, including Chief Analytics Officer for Digital Reasoning, Advisor for Falkonry, and Chief Data Scientist for BAE Systems Applied Intelligence. Currently serving as the Chief Analytics Officer for Smarsh, his role encompasses spearheading data science and research in AI.