Yang Chenguang
Cloud Platform Manager
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolYang Chenguang is a Cloud Platform Manager with nine years of experience building and productizing cloud services and operations at scale, currently driving Lenovo's global private cloud design, automation, and multi-region provisioning. He blends hands-on engineering and program leadership from prior roles launching Azure and Office 365 in China, where he designed customer portals, data warehouses, and business dashboards while standing up engineering teams and DevOps practices. His background spans cloud architecture, IT product management, and data-driven operations, backed by a Master's in Computer Science and early engineering work on open-source projects and SaaS platforms. An avid technologist who also tinkers with ML projects—such as contributing fixes to a TensorFlow/Keras-based Chinese OCR—he brings a pragmatic, cross-domain curiosity informed by interests in science, automotive communities, and digital product evaluation.
9 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Computer Science, Top 3, Bachelor's degree, Computer Science, Top 3 at Hebei University of TechnologyMaster's degree, Computer Science, Top 5, Master's degree, Computer Science, Top 5 at SUPINFO - The International Institute of Information Technology
French, English, Chinese
Github Skills (14)
ocr10
keras10
computer-vision10
machine-learning10
deep-learning10
tensorflow10
ocra10
python10
n9
rnn-model9
mask-rcnn9
faster-rcnn9
setupapi8
inno-setup8
Programming languages (5)
Github contributions (5)
YCG09/chinese_ocr
Mar 2018 - Oct 2019
CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras
Role in this project:
ML Engineer
ML EngineerContributions:13 commits, 40 pushes, 1 branch in 1 year 7 months
Contributions summary:Yang primarily made updates and fixes to the Chinese OCR project. They modified the `ctpn/lib/networks/network.py` file, likely to adjust network architecture or configurations. Further updates were made to `demo.py` and `setup.sh` and `setup.py`, possibly fixing issues, or improving the build process. Additional commits focused on fixing python2 bugs in the training script.
densenetkerasocrtensorflow
YCG09/tf-text-classification
Dec 2017 - May 2019
CNN and RNN with Attention for Chinese Text Classification in Tensorflow
Contributions:20 commits, 37 pushes, 1 branch in 1 year 4 months
tensorflowtext-classification
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