Yunlong He
Architect, Technical Lead, Director at Intel Corporation
Chaoyang District, Beijing, China
Summary
👤
Senior🎓
Top SchoolYunlong He is an experienced architect and technical leader with over 15 years of software development across mobile, compiler/toolchain, and large-scale AI/ML platforms. He currently leads JD’s AI platform efforts—designing high-throughput online services (NeuHub), AutoML tooling, data labeling and a multi-framework ML platform that runs hundreds of GPUs and handles billions of daily API calls. His background spans embedded/mobile systems and compiler internals through roles at Intel and Motorola, giving him a rare combination of low-level systems insight and cloud-scale ML production know-how. Known for shipping practical distributed solutions (xgboost on MPI, DistML) and building knowledge-graph–backed conversational services, he’s both hands-on and strategic in enabling teams to put models into production. Based in Beijing, he’s deeply committed to AI research and engineering and aims to focus his career on advancing AI capabilities.
12 years of coding experience
7 years of employment as a software developer
Master Physics, Master Physics at Nanjing Universitybachelor Physics, bachelor Physics at Jilin University
English
Github Skills (74)
python9
python-client9
cnn-architecture9
machine-learning9
spark9
currency8
paper8
dataclasses8
neural-network8
deep-learning8
tensorflow8
finance8
stock8
datasets7
einstein7
Programming languages (5)
Github contributions (5)
Yunlong-He/MachineLearningNotes
Dec 2015 - Dec 2019
Contributions:89 pushes, 2 branches in 4 years
intel-machine-learning/DistML
Aug 2014 - May 2016
DistML provide a supplement to mllib to support model-parallel on Spark
Contributions:1 release, 13 commits, 1 PR in 1 year 9 months
spark
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