Yuan Wu
AP Computer Science Instructor at Shanghai Pinghe High School
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolYuan Wu is a seasoned software engineering leader with 11 years of hands-on experience delivering payments, settlement and trading systems across fintech and capital markets. He has led end-to-end dispute/chargeback integrations with major card networks and PSPs (Adyen, PayPal) and architected common settlement platforms and STP workflows for OTC trades and multi-asset commodities trading. Known for translating ambiguous business needs into executable strategies, he has also built in-house operations and physical scheduling tools for complex energy trading lifecycles. Yuan combines managerial experience at scale (Coupang, Airwallex, eBay) with practical ML engineering contributions to the Open Model Zoo, highlighting a blend of production engineering and applied research. Now based in Shanghai and teaching AP Computer Science, he brings rare domain depth in payments and commodity settlements to both industry and the classroom.
11 years of coding experience
14 years of employment as a software developer
Master's degree Computer Software Engineering, Master's degree Computer Software Engineering at Shanghai Jiao Tong University
Github Skills (7)
cnn-model10
inference10
deep-learning10
modello10
python10
openvino10
demoscene9
Programming languages (4)
Github contributions (5)
openvinotoolkit/open_model_zoo
Mar 2021 - Oct 2022
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Role in this project:
ML Engineer
ML EngineerContributions:13 reviews, 32 commits, 5 PRs in 1 year 8 months
Contributions summary:Yuan focused on enhancing the Open Model Zoo by adding and modifying components related to action recognition. Specifically, they added an Accuracy Checker (AC) for a smartlab-sequence-modelling-0001 model, implemented modifications in the MSTCN part of a demo, and updated the display functionality. Their work involved adjustments to action recognition modes, modification of segmentor components and integration of the accuracy checker framework.
modelonnx-modelsdeep-learning-modelsmodel-zoopytorch-models
wdkwyf/mars
Jun 2019 - Sep 2019
Mars is a tensor-based unified framework for large-scale data computation.
Contributions:138 pushes, 15 branches in 2 months
computationpythondata-sciencemarsmachine-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.