Deep Shah is an Engineering Leader at Google leading strategic initiatives in personalization for Google Search. He has been the driver for many large-scale discovery features on Search, including Preferred Sources and Stay Up to Date on Evolving Topics, which empower users to prioritize trusted publishers and quickly access novel information. These contributions have been widely recognized by global media outlets, including The Verge, TechCrunch, and Bloomberg, which have highlighted his work as a "game-changer", "incredible" for the user and a significant advancement in the fight against misinformation. Previously, he was leading the abuse detection for Google maps, where he developed novel unsupervised machine learning models to combat spam and fraudulent activity acting as a defensive mechanism detecting abuse other online models missed. Deep holds an M.S. in Computer Science from the University of Illinois Urbana-Champaign and has been recognized with multiple awards and honors for his leadership and contributions in large-scale recommendation and discovery systems.