Quoc Le
AI & Machine Learning at Roblox
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolQuoc Le is an AI systems performance engineer in the San Francisco Bay Area with 11 years of experience building and scaling ML-driven products. He has led modeling and algorithm efforts at Salesforce for Einstein Guidance, expanded into principal engineering and data science at Roblox to scale AI-powered detection systems for community safety, and now focuses on AI systems performance at NVIDIA. Quoc combines deep academic training—a CS MS from Columbia and a BS in Mathematics and Computer Science from Vanderbilt—with hands-on production expertise in large, safety-critical ML deployments. He has a track record of translating research-grade models into robust, high-throughput services that operate at internet scale. Known for bridging algorithmic rigor with systems engineering, he pays attention to operational metrics and failure modes that others often overlook.
11 years of coding experience
6 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at Columbia UniversityBachelor of Science Mathematics and Computer Science, Bachelor of Science Mathematics and Computer Science at Vanderbilt University
Github Skills (27)
pytorch10
python10
machine-learning10
deep-learning10
natural-language-processing10
transformer10
speech-recognition10
nlp10
transformers9
language-model9
bert9
tensorflow9
jax9
seq2seq8
flax7
Programming languages (2)
Github contributions (5)
drivendata/boxplots-for-education-1st-place
Jan 2015 - Jan 2015
Contributions:39 commits, 4 pushes in 12 days
rounakmehta/autoaugment_performance
Nov 2018 - Dec 2018
Contributions:40 pushes in 17 days
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