Chenguang Zhu
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolChenguang Zhu is a research leader and Member of Technical Staff in San Francisco with 7 years of experience building deep learning systems across language, speech, and vision. He has led teams at OpenAI, Meta, Zoom, and Microsoft to deliver production-grade LLM foundation models, multimodal capabilities, and agent frameworks that power commercial products like ChatGPT and Zoom AI Companion. At Zoom he drove a federated AI solution matching GPT-4 quality at 5% of the cost, and at Meta he coordinated cross-capability work for Llama-3.5/4 post-training pipelines and data tooling. His Stanford PhD in machine learning and a first technical book on machine reading comprehension reflect deep academic foundations combined with practical productization. Colleagues describe him as a pragmatic researcher who bridges large-scale model engineering, data-centric tooling, and cost-efficient deployment strategies.
7 years of coding experience
8 years of employment as a software developer
Bachelor, Computer Science, Bachelor, Computer Science at Tsinghua UniversityPhD in Computer Science, Machine Learning, PhD in Computer Science, Machine Learning at Stanford University
Chinese, English
Github Skills (9)
nlp-machine-learning10
dialogue-systems8
acl8
corpus8
language-processing7
nlp6
word-embeddings6
natural-language-understanding6
natural-language-processing6
Programming languages (2)
Github contributions (5)
zcgzcgzcg1/MediaSum
Mar 2021 - Jul 2021
Contributions:28 commits, 12 pushes, 7 comments in 4 months
zcgzcgzcg1/MRC_book
Dec 2019 - Oct 2020
《机器阅读理解：算法与实践》代码
Contributions:50 commits, 21 pushes in 10 months
machine-reading-comprehensionnlp-machine-learning
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