Raymond Yuan

Research Engineer at Descript

Los Angeles, California, United States
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Summary

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Rockstar
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Top School
Raymond Yuan is a research engineer in Los Angeles with a decade of practical experience building and shipping machine learning systems from research prototypes to production pipelines. He has led ML and engineering efforts at startups and at Nuro, and co-founded a YC-backed company where he served as CTO, blending product-minded leadership with hands-on implementation. His background includes contributions to TensorFlow models—implementing an A3C reinforcement agent using Keras—and internships at Google and NeoSensory that sharpened both research and applied systems skills. At Descript he continues to bridge research and product, while earlier academic work reverse-engineering biological motifs informs his novel approaches to ML problems. Colleagues describe him as relentlessly curious and driven to leave measurable impact through continual learning and practical experimentation.
code10 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Rice University
bookHigh School, High School at St. John's School
languagesEnglish, Chinese
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Github Skills (5)

keras10
machine-learning10
tensorflow10
python10
reinforcement-learning10

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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tensorflow/models

Jul 2018 - Aug 2018

Models and examples built with TensorFlow
Role in this project:
userML Engineer
Contributions:21 commits, 10 PRs, 29 pushes in 21 days
Contributions summary:Raymond's commits focused on developing an A3C (Asynchronous Advantage Actor-Critic) reinforcement learning agent for the Cartpole environment within the TensorFlow models repository. The contributions involved implementing the ActorCriticModel using Keras, and creating a training loop, and also setting up a random agent to run. The user also updated the loss function, and added entropy regularization.
deep-learningtensorflow
raymond-yuan/personal-site

Mar 2016 - Apr 2019

Contributions:2 PRs, 100 pushes, 2 branches in 3 years 1 month
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Raymond Yuan - Research Engineer at Descript