John Dang
Member Of Technical Staff (Founding Team) at Adaption
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJohn Dang is an AI researcher and Member of Technical Staff with nine years of experience building and researching large language models, reinforcement learning, and continual learning systems across startups and industry labs. Currently on the founding engineering team at Adaption, he previously led post-training LLM research at Cohere Labs, tackling RL, reasoning, multimodal, and multilingual challenges alongside noted researchers. His background spans applied ML in autonomy and vision—contributions at Motional, Skydio, and UCLA show a pattern of moving ideas from lab to real-world systems. Trained at UCLA (BS/MS CS) and active on Google Scholar and GitHub, he combines deep research rigor with hands-on engineering for production-grade AI. Notably, he has worked on both anomaly detection infrastructure at AWS and personality/biomedical ML projects earlier in his career, reflecting a rare breadth across applied domains.
9 years of coding experience
5 years of employment as a software developer
Evergreen Valley High SchoolUniversity of California, Los Angeles
English, Vietnamese
Github Skills (4)
machine-learning2
react1
javascript1
medium1
Programming languages (4)
Github contributions (5)
jamqd/DQN
Apr 2020 - Jun 2020
Contributions:61 commits in 1 month
jamqd/jamqd.github.io
May 2018 - Jun 2022
Contributions:39 pushes in 4 years 1 month
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