Andy Huang
CEO at SixElements.AI
China
Summary
🤩
Rockstar🎓
Top SchoolAndy Huang is a veteran technology leader and founder with 11 years of experience building large-scale machine learning, big data platforms, and AI-driven products across Alibaba, Tencent, and fast-growing startups. As CEO of SixElements.AI he is commercializing MaaS for large models, drawing on prior experience as CTO of a Forbes-recognized company where he scaled engineering and product teams from 130 to 360 and shipped SaaS BI, IoT, and AI products. He led Tencent’s ML infrastructure and open-source efforts as chairman of its OSS committee and initiator/contributor to the Angel distributed ML platform, reflecting deep expertise in parameter-server architectures and GBDT model engineering. Equally comfortable in executive strategy and hands-on backend/algorithm work, he combines strong product sense with seasoned people management and a programmer-of-art sensibility that drives pragmatic, production-ready innovation.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Automation Engineer Technology/Technician, Bachelor's degree, Automation Engineer Technology/Technician at South China University of Technology
English
Github Skills (9)
params10
javas10
para10
java10
scala9
machine-learning9
model-management9
elearning8
modello8
Programming languages (7)
Github contributions (5)
Angel-ML/angel
May 2017 - Mar 2018
A Flexible and Powerful Parameter Server for large-scale machine learning
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:6 releases, 259 commits, 69 PRs in 10 months
Contributions summary:Andy primarily worked on integrating and enhancing core components of the Angel ML framework. Their contributions involved merging branches and updating various Java classes, particularly within the `angel-ps` directory, which suggests involvement in parameter server functionality and model management. The changes reveal integration and improvement of Gradient Boosting Decision Tree (GBDT) algorithms. The user also appears to be involved in model saving and loading.
machine-learningparameter-serversparkscalamodel
andyyehoo/yt-dlp
Sep 2025 - Mar 2026
A feature-rich command-line audio/video downloader
Contributions:9 PRs, 7 pushes, 5 branches in 6 months
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