John Yang

Research Scientist at Meta

Palo Alto, California, United States
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Summary

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Rockstar
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Top School
John 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.
code11 years of coding experience
job6 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Princeton University
bookBachelor of Science (B.S.) Electrical Engineering and Computer Science, Bachelor of Science (B.S.) Electrical Engineering and Computer Science at University of California, Berkeley
bookHigh School Diploma, High School Diploma at Bellarmine College Preparatory
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
languagesChinese, English
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Stackoverflow

Stats
23reputation
751reached
0answers
4questions
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Github Skills (16)

sinatra10
courses-resource10
ruby10
activerecord9
json9
javascript8
objective-c6
pandas6
html6
docker6
matching6
bash6
dataframe6
numpy6
css4

Programming languages (10)

ShellCJavaScriptGoPHPHTMLSwiftJupyter Notebook

Github contributions (5)

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saasbook/courseware

Jun 2020 - Oct 2020

Courseware setup and information for instructors
Role in this project:
userFull-stack Developer
Contributions: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
Contributions:2427 branches in 3 months
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John Yang - Research Scientist at Meta