John Yang
Palo Alto, California, United States
Summary
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RockstarJohn Yang is a research scientist and PhD student in Computer Science at Stanford with 11 years of industry and academic experience spanning machine learning, systems, and developer tooling. Currently at Meta, he works on SWE benchmarking and code/language agents, building on internships and engineering roles at NVIDIA, Google, Twitch, and ASAPP where he focused on inference deployment, data infrastructure, and ML infrastructure. He has taught and supported CS courses at Princeton and UC Berkeley, and contributed full-stack courseware enhancements (including Ruby-based self-check quizzes) to an educational repo, reflecting a knack for translating complex material into practical learning tools. Comfortable across research and production, he combines deep systems knowledge with hands-on software engineering to move ideas from prototype to scalable deployment.
11 years of coding experience
Stackoverflow
23reputation
751reached
0answers
4questions
Github Skills (16)
sinatra10
courses-resource10
ruby10
activerecord9
json9
javascript8
objective-c6
html6
pandas6
matching6
docker6
bash6
dataframe6
numpy6
css4
Programming languages (13)
Github contributions (5)
saasbook/courseware
Jun 2020 - Oct 2020
Courseware setup and information for instructors
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:27 commits, 1 PR, 23 pushes in 4 months
Contributions summary:John primarily contributed to the courseware by adding and modifying self-check quizzes. The user converted existing self-checks to Ruby quiz format, which involved creating new directories and files. They also added worksheet code, module questions, and complementary images, enhancing the learning resources. This indicates a focus on content creation and adapting existing materials for the course.
coursewareinstructorscookbookedtech
swe-ft/cantools__cantools.0c6a7871
Dec 2024 - Mar 2025
Contributions:2427 branches in 3 months
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