Yang Chenguang

Cloud Platform Manager

Haidian District, Beijing, China
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Summary

🤩
Rockstar
🎓
Top School
Yang 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.
code9 years of coding experience
job9 years of employment as a software developer
bookBachelor's degree, Computer Science, Top 3, Bachelor's degree, Computer Science, Top 3 at Hebei University of Technology
bookMaster's degree, Computer Science, Top 5, Master's degree, Computer Science, Top 5 at SUPINFO - The International Institute of Information Technology
languagesFrench, English, Chinese
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Github Skills (14)

ocr10
keras10
computer-vision10
machine-learning10
deep-learning10
tensorflow10
ocra10
python10
n9
rnn-model9
mask-rcnn9
faster-rcnn9
inno-setup8
setupapi8

Programming languages (5)

JavaC++ScalaJupyter NotebookPython

Github contributions (5)

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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:
userML Engineer
Contributions: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.
chinesectpnend-to-endchinese-ocrctc
YCG09/chinese-ocr

Jan 2018 - Feb 2019

基于tensorflow、keras/pytorch实现对自然场景的文字检测及端到端的OCR中文文字识别
Contributions:20 commits, 46 pushes, 1 comment in 1 year 1 month
pytorchobject-detectionocrkeras-tensorflowtensorflow
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Yang Chenguang - Cloud Platform Manager