Xuyang Fang
Senior Engineer at Apple
Cupertino, California, United States
Summary
🤩
Rockstar🎓
Top SchoolXuyang Fang is a senior engineer with 8 years of experience building and optimizing large-scale ML systems, currently focused on agentic search with LLMs at Moveworks and now Apple. He has deep expertise in post-training, fine-tuning, and inference optimization for multimodal foundation models, and has shipped vision-language features for iOS and enterprise-grade GenAI search ranking that power millions of users. His background spans applied research in computer vision, reinforcement learning adjacent methods, and data infrastructure—he was an early contributor to an open Data Transfer Project used for petabyte-level cloud migrations. Comfortable moving models from research to production, Xuyang blends systems thinking with model-driven improvements and a track record of deploying practical ML components in both startups and large tech environments.
8 years of coding experience
Bachelor of Science - BS, Major in CS, Minor in Math, Bachelor of Science - BS, Major in CS, Minor in Math at Peking UniversityNo.2 High School Attached to East China Normal UniversityMaster of Science in Computer Science (MSCS), Computer Science, Master of Science in Computer Science (MSCS), Computer Science at Carnegie Mellon UniversityArtificial Intelligence Professional Certificate, Artificial Intelligence, Artificial Intelligence Professional Certificate, Artificial Intelligence at Stanford University
English, Chinese
Github Skills (11)
data-transfer10
portability10
protocols10
transfer10
data-models10
data-portability10
generative-adversarial-network6
deep-learning3
pytorch3
computer-vision3
animation3
Programming languages (3)
Github contributions (5)
leelabcnbc/visual-concept-xuyang
Jan 2019 - May 2019
Contributions:14 commits, 13 pushes, 1 branch in 4 months
yy9669/data-transfer-project
Sep 2023 - Jul 2024
The Data Transfer Project makes it easy for people to transfer their data between online service providers. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers.
Contributions:18 pushes, 6 branches in 9 months
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