About

Adnan Aziz is a Research Scientist Manager at Facebook, where he supports the Trainer Scalability and Performance team within the AI Infra organization. He is responsible for building the stack that determines the posts and ads that users see in their Facebook and Instagram feed. With over 32 years of relevant experience, Adnan is a seasoned professional in the field of algorithms and hardware optimization. Prior to joining Facebook, Adnan taught and conducted research in algorithms for hardware optimization at The University of Texas at Austin. He also worked as a Member of the Technical Staff at Google, where he gained valuable experience in software engineering. Adnan is also an accomplished author, having written for "Elements of Programming Interviews," a popular book on algorithm design. Adnan's educational background is impressive, having earned a Bachelor's Degree in Electrical Engineering from the Indian Institute of Technology in Kanpur, India, and a Doctor of Philosophy (Ph.D.) in Algorithms from the University of California, Berkeley. His technical expertise includes research in AI, infra, and software engineering. Adnan is a highly skilled professional with a passion for using technology to solve complex problems. He is committed to staying up-to-date with the latest trends and advancements in his field, and he is always eager to share his knowledge and expertise with others. With his extensive experience and impressive credentials, Adnan is a valuable asset to any organization.