Yining Zhang
General Manager at Terragene
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolYining Zhang is a seasoned healthcare executive with 15 years in the medical industry and eight years in senior management, currently serving as General Manager for Terragene in Shanghai. He has full P&L accountability for hospital sterilisation operations across multiple greenfield and joint-venture sites in China, combining hands-on plant setup and capex control with commercial leadership in sales, BD and customer service. His career includes regional sales leadership at Getinge and multiple executive roles at Synergy Health where he scaled China operations from a single site to a multi-site business and delivered double-digit CAGR. Holding a PhD in Biomedical Sciences and an MA in Applied Management, he blends deep scientific training with strategic investment and operational expertise. Less obvious: he contributes to open-source ML tooling on GitHub—working on fastNLP/fitlog and trainer modules—bringing practical software and reproducibility insight to clinical operations and analytics.
8 years of coding experience
11 years of employment as a software developer
PhD, Biomedical Sciences, PhD, Biomedical Sciences at University of NottinghamBsc, Biotechnology, Bsc, Biotechnology at Nanjing UniversityMA, Applied Management, MA, Applied Management at Henley Business School
Github Skills (13)
git10
pytorch10
python10
documentation9
cli9
command-line9
command-line-interface9
develop9
version-control9
maintainability9
deep-learning8
computer-engineering8
nlp7
Programming languages (3)
Github contributions (5)
fastnlp/fitlog
Apr 2019 - Oct 2022
fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 releases, 87 commits, 6 PRs in 3 years 7 months
Contributions summary:Yining contributed significantly to the `fitlog` project, particularly focusing on the development of the fastgit module and its integration with a command-line interface (CLI) tool. Their work involved modifying the core logic of the fastgit module, including refactoring and changing interfaces. They also addressed bugs and implemented changes to the project's initialization and version control procedures. Further, the user contributed to the documentation.
deep-learningpytorchmachine-learningtensorflow
fastnlp/fastNLP
Jan 2019 - Dec 2021
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 releases, 239 commits, 22 PRs in 2 years 11 months
Contributions summary:Yining's commits primarily focused on modifying the trainer module of the `fastnlp` project. Their main contribution was the removal of GPU-related information when saving models. The commits indicate a focus on improving code maintainability and potentially portability of the models across different hardware configurations. Furthermore, changes in the documentation and the addition of code to the trainer suggest involvement in improving the library's tools.
nlpbertword-embeddingsdeep-learningtext-processing
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