Qinbo Li
Machine Learning Engineer (Generative ML)
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolQinbo Li is a Machine Learning Engineer specializing in generative models, currently at Snap after a research scientist stint at Meta and a PhD candidacy in Computer Science at Texas A&M. With a decade of experience bridging industry research and production ML, he blends rigorous academic training (4.0 PhD GPA) with applied systems expertise in large-scale visual and generative workloads. He has moved models from paper to product, contributing to research teams at Meta and now translating generative ML into consumer-facing features at Snap. Based in Los Angeles, Qinbo pairs deep technical rigor with practical deployment experience, and his background suggests a strong ability to navigate both cutting-edge research and engineering constraints.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.0/4.0, Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 at Texas A&M UniversityBachelor of Engineering (BEng), Computer Software Engineering, 3.77/5.0, Bachelor of Engineering (BEng), Computer Software Engineering, 3.77/5.0 at Sun Yat-Sen University
English, Chinese, Chinese
Github Skills (19)
entity-resolution8
record-linkage8
minimum7
linkage7
disclosure7
mlp5
rendering5
deduplication4
nist4
deep-learning3
php3
gpu3
cuda3
pytorch3
machine-learning2
Programming languages (2)
Github contributions (5)
Turmac/rs274ngc_php
Apr 2016 - Aug 2020
Contributions:8 commits, 1 PR, 3 pushes in 4 years 4 months
nationalnistphpstandardsphp-version
pinformatics/mindfirl
May 2018 - Jan 2020
MINDFIRL stands for Minimum & Necessary Disclosure for Interactive Record Linkage. It is a software for interactive record linkage.
Contributions:85 pushes, 4 branches in 1 year 8 months
linkagerecord-linkagedisclosureminimumrecord
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