Zheng-xin Yong
Member Of Technical Staff at OpenAI
Providence, Rhode Island, United States
Summary
👤
Senior🎓
Top SchoolZheng-xin Yong is an Astra Research Fellow at OpenAI and a PhD candidate in Computer Science at Brown University with nine years of hands-on experience in ML, deep learning, and multilingual NLP. He has driven research and safety work across top labs—Meta FAIR, Cohere, Hugging Face and OpenAI—focusing on multilingual model robustness, safety red‑teaming, and extending large models to low-resource languages. Equally comfortable in research and product settings, he has led data collection and prompt curation for Malay LLMs, scaled compute-aware multilingual modeling (BLOOM+1), and shipped applied ML solutions from satellite imagery to production NLP systems. A pragmatic open-source enthusiast fluent in PyTorch/TensorFlow, cloud platforms, and full-stack tooling, he blends academic rigor with business insight from a BS in CS and a Business minor. Notably, his work emphasizes scaling reasoning compute and practical strategies for deploying safe, accent-robust and multilingual models.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Computer Science (Major) and Business (Minor), Bachelor of Science - BS Computer Science (Major) and Business (Minor) at Minerva UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Brown University
Malay, English, Chinese
Github Skills (141)
language-model10
python10
leaderboard10
scrapy10
deep-learning10
computational-linguistics10
phonetics10
lora10
crawler10
acl10
prompt-tuning10
codecov10
audio10
transformer10
transfer-learning10
Programming languages (9)
Github contributions (5)
yongzx/yongzx
Jun 2020 - May 2025
Contributions:12 pushes, 1 branch in 4 years 11 months
yongzx/PaletteNet-PyTorch
Jun 2020 - Jan 2022
PyTorch Implementation of PaletteNet (Cho et al., 2017)
Contributions:6 commits, 5 pushes, 1 branch in 1 year 6 months
pytorch
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