Yingda Chen
Director Of Engineering at System AI Lab - Institute for Intelligent Computing, Alibaba Group
Bellevue, Washington, United States
Summary
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Rockstar🎓
Top SchoolYingda Chen is a seasoned engineering leader with 12 years of experience building large-scale distributed systems and AI infrastructure, currently serving as Director of Engineering at Alibaba’s System AI Lab in Bellevue. He led core distributed platform teams at Alibaba Cloud and earlier helped found and shape Apache REEF at Microsoft, contributing to production services like Azure Stream Analytics and AzureML. Yingda specializes in bringing Model-as-a-Service to life—driving the open-source ModelScope ecosystem and DashScope to operationalize ML models and developer-facing tooling. His work blends deep systems architecture (dynamic DAG execution, parameter-server ML platforms, unstructured data pipelines) with pragmatic developer UX improvements, evidenced by hands-on contributions to ModelScope such as smarter download behavior and progress feedback. He holds advanced engineering degrees and a track record of turning research-grade execution frameworks into robust, mission-critical production platforms.
12 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.Sc) Electrical Engineering, Bachelor of Science (B.Sc) Electrical Engineering at University of Science and Technology of ChinaMaster of Science (M.Sc.) Division of Engineering, Master of Science (M.Sc.) Division of Engineering at Brown UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Lehigh University
Stackoverflow
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Github Skills (6)
machine-learning10
python10
deeplearning-ai9
deep-learning9
nlp6
computer-vision4
Programming languages (6)
Github contributions (5)
modelscope/modelscope
Oct 2022 - Mar 2023
ModelScope: bring the notion of Model-as-a-Service to life.
Role in this project:
ML Engineer
ML EngineerContributions:126 reviews, 17 commits, 106 PRs in 5 months
Contributions summary:Yingda primarily contributed to the modelscope project by integrating the `tqdm` library for progress bar displays in various download and data processing utilities. They also removed an option to disable `tqdm`, indicating a focus on improving the user experience and providing visual feedback during data downloads. Furthermore, the user modified the code to prevent the download of unnecessary files related to model configurations, such as `.pth` and `.pt` files, when using auto-configuration features.
nlppytorchmulti-modalpythonscience
dashscope/dash-cookbook
Aug 2023 - Aug 2024
Contributions:5 reviews, 11 PRs, 26 pushes in 11 months
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