Jou-ching Sung is a Head of Artificial Intelligence with a decade of experience building practical, production-ready ML systems across autonomy, personalization, and generative media. Currently leading GAZAI’s multi-year AI roadmap, he hires and shapes teams to deliver custom agents, companions, and image/video generation pipelines while keeping costs and deployment complexity in check. His background spans applied research and scaled production—designing recommender systems for 50M+ Amazon Music users and developing reinforcement- and imitation-learning solutions for BMW’s autonomous prototypes. Trained as an electrical and computer engineer at the University of Michigan, he uniquely combines chip-design rigor from AMD with modern deep learning expertise, enabling efficient ML infrastructure and novel model development. Known for turning exploratory proofs-of-concept into deployed products, he focuses on staying ahead of new AI advances and translating them into usable features.
10 years of coding experience
14 years of employment as a software developer
Master of Science (M.S.) Electrical Engineering, Master of Science (M.S.) Electrical Engineering at University of Michigan
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