Song Yang
AI Trainer (Coding Specialty) at Scale AI
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolYang Song is a research principal focused on advancing artificial general intelligence, with 11 years of experience across top AI labs and tech companies. He holds a PhD in Computer Science from Stanford and has held research roles at OpenAI, Google, and Meta, combining deep theoretical insight with production-minded research. His work spans ML, AI, and NLP, and he maintains an active curiosity about new programming languages and web stacks—suggesting a rare blend of foundational research and practical engineering. Based in Toronto, he pursues ambitious long-term goals (relentlessly pursuing ASI) while contributing to the research community through code and publications. Colleagues know him for bridging rigorous academic training with hands-on system-building at scale.
11 years of coding experience
2 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Université de MontréalBachelor's degree Computer Science, Bachelor's degree Computer Science at McGill University
English, French, Chinese, German
Github Skills (200)
glance10
ui-components10
testing10
visual-studio10
cpp10
antlr10
html10
svelte10
package-manager10
web-components10
desktop10
grammar10
material-design10
php10
command-line10
Programming languages (15)
Github contributions (5)
XsongyangX/bear-step
May 2020 - Oct 2020
Contributions:50 commits, 41 pushes, 1 branch in 4 months
songyang-dev/UML-hand-class-diagrams
Mar 2021 - Jun 2021
Contributions:18 commits, 15 pushes, 1 branch in 2 months
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