Shaohua Zhang
Software Engineer at Huawei Technologies
Xi'an, Shaanxi, China
Summary
🤩
Rockstar🎓
Top SchoolShaohua Zhang is a seasoned software engineer with 11 years of experience, currently contributing at Huawei Technologies from Xi'an. He holds a master's in computer science from Northwestern Polytechnical University and a bachelor's in applied mathematics, combining strong theoretical foundations with practical engineering. His open-source backend work on the widely used PaddleOCR project highlights skills in code refactoring, modularization, and model export/train pipeline improvements for multilingual, lightweight OCR across server, mobile, and embedded environments. Known for removing duplication and streamlining complex codebases, he brings a pragmatic eye for maintainability and deployment readiness. Comfortable across large-scale corporate engineering contexts and open-source collaboration, he blends deep system-level understanding with applied ML deployment experience.
10 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Northwestern Polytechnical UniversityBachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Xinjiang University
Chinese, English
Github Skills (11)
ocr10
paddlepaddle10
refactoring10
ocra10
python10
refactor10
exporter9
data-export9
machine-learning9
exports9
image-processing8
Programming languages (6)
Github contributions (5)
PaddlePaddle/PaddleOCR
Jul 2020 - Sep 2022
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Role in this project:
Backend Developer
Backend DeveloperContributions:9 reviews, 73 commits, 24 PRs in 2 years 2 months
Contributions summary:Shaohua primarily contributed to the backend of the paddleocr project, focusing on code refactoring, and improving the overall structure of the codebase. Their work involved removing duplicated code across multiple modules, streamlining the process, and correcting imports to ensure the project's functionality. They also made modifications related to model exporting and training, indicating a strong understanding of the project's core functionalities.
synthesisultrapracticaltrainingtoolkits
BeyondYourself/Serving
Jan 2021 - Jul 2023
A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）
Contributions:4 PRs, 4 pushes, 1 branch in 2 years 6 months
machine-learningcarrierperformancehigh-performancemachine-learning-models
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