Silu Huang
Technical Lead at ByteDance
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolSilu Huang is a Technical Lead with a Ph.D. from UIUC and a decade of experience building scalable systems at the intersection of databases and machine learning. She has led VectorDB and RAG initiatives at ByteDance after driving research on VectorDB, pattern search, AutoML, and time-series explainability as a Senior Researcher at Microsoft. Her work builds on research internships at Google and Microsoft that produced peer-reviewed contributions in KDD, AAAI, and SIGMOD, reflecting a strong track record of turning research into production. Based in Redmond, she combines deep systems and algorithmic expertise with practical deployment experience, often focusing on efficient retrieval and aggregation techniques that power real-world analytics and ML workflows.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Electrical Electronic and Communications Engineering Technology/Technician, Bachelor’s Degree Electrical Electronic and Communications Engineering Technology/Technician at Shanghai Jiao Tong UniversityDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Illinois Urbana-ChampaignThe Chinese University of Hong Kong (CUHK)
Github Skills (29)
python10
discord10
classification10
natural-language-generation10
regression10
naive-bayes10
automl10
natural-language-processing10
fairness-ml10
scikit-learn10
jupyter-notebook10
automated-machine-learning10
random-forest10
data-science9
machine-learning9
Programming languages (3)
Github contributions (5)
KnowEnG/Genvisage
Feb 2017 - Nov 2018
Contributions:15 commits in 1 year 9 months
slhuang/separability
Dec 2016 - Dec 2019
Contributions:51 pushes, 1 branch in 3 years
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