Yongjun Chen
Research Scientist at Augment Code
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolYongjun Chen is a research scientist in Palo Alto with nine years of experience building production-grade AI systems, currently focused on AI coding at Augment Code. He previously led end-to-end Apple Intelligence efforts—ranging from LLM infrastructure benchmarking and large/small model distillation to on-device reply-suggestion models—and shipped RL-driven product features for agentic LLMs. Earlier work at Salesforce produced published research in information retrieval and sequential recommendation, AutoML tooling, and an award-winning HPO library, reflecting a rare blend of systems engineering, statistics, and deep learning. Trained in deep learning (MSc) and statistics (BSc), he consistently moves research into scalable production and is notable for spanning both low-level model engineering (MoE models, distillation) and user-facing ML experiences.
9 years of coding experience
7 years of employment as a software developer
BSc. in Statistics, BSc. in Statistics at Huazhong University of Science and TechnologyM.Sc. in Computer Science Deep Learning, M.Sc. in Computer Science Deep Learning at Washington State University
English, Chinese, teochew
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
tensorflow2
deep-learning2
transformer2
operating-system1
Github contributions (5)
YongjunChen93/yongjunchen93.github.io
Apr 2019 - Feb 2025
Contributions:20 pushes, 1 branch in 5 years 11 months
JohnChenYJ/DSN_Tensorflow_Code
Mar 2017 - May 2017
Contributions:9 commits, 12 PRs, 52 pushes in 2 months
deep-learningtransformertensorflowdense
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