Zhibang Chen is a Senior Applied Scientist based in Seattle with nine years of experience applying machine learning and software engineering to large-scale product problems. At Apple he has contributed to intelligence features like summarization and now works on pre-training data for diffusion foundation models, bridging research-grade models and production constraints. A UCLA CS alumnus, he progressed through AI/ML rotations and infrastructure-focused internships, giving him a rare combination of model-focused research and practical infra/devops know-how. Colleagues rely on him to translate experimental models into robust, production-ready pipelines that scale across Apple’s ecosystem.
9 years of coding experience
5 years of employment as a software developer
B.S., Computer Science, B.S., Computer Science at University of California, Los Angeles
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