Scaling Graph Learning for the Enterprise: Production-Ready Graph Learning and Inference - Softcover

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Ahmed Menshawy is the Vice President of AI Engineering at Mastercard's Cyber and Intelligence. In this role, he leads the AI Engineering team, driving the development and operationalization of AI products and addressing the broad range of challenges and technical debts surrounding ML pipelines. Ahmed also leads a team dedicated to creating a number of AI accelerators and capabilities, including Serving engines and Feature stores, aimed at enhancing various aspects of AI engineering. Ahmed is the coauthor of Deep Learning with TensorFlow and the author of Deep Learning by Example, focusing on advanced topics in deep learning. Sameh is an expert in machine learning and health informatics. He has more than a decade of both academic and industrial experience in machine learning and artificial intelligence solutions. He obtained his PhD from the University of Galway, where he did research on machine learning on graphs and its applications in biomedical applications and a master's degree in cardiovascular intervention medicine. He later worked for Mastercard, Carelon, and Microsoft in technical leadership roles where he built machine learning powered solutions in the domains of finance, healthcare insurance, and content generation. His contributions are mainly focused on the topics of representation learning, natural language processing, and health informatics. Maraim Rizk Masoud is a leading machine learning engineer at Mastercard's Cyber and Intelligence division, concurrently serving as an AI researcher. With a diverse background spanning both industry and academia, Maraim has delved into various AI domains, including natural language processing and AI governance. She holds an MSc in Machine Learning from Imperial College London and an MEng from the University of Southampton.