Yuming Long is a Senior Software Engineer based in Vancouver with six years of experience building and hardening ML-focused engineering pipelines. Currently at Unstructured/unstructured.io, he progressed from intern to senior engineer, contributing to production-ready integrations and test automation for document preprocessing tooling. His open-source work on the Unstructured project centers on integration and compatibility testing—improving reliability for Label Studio and SDK workflows used by ML teams. With a background in data science internships and early research in facial recognition, he blends applied ML intuition with pragmatic software engineering. Comfortable across the stack, he prioritizes robust integration testing to keep complex preprocessing pipelines trustworthy in production.
6 years of coding experience
1 year of employment as a software developer
Bachelor of Computer Science, Computer Science, Bachelor of Computer Science, Computer Science at University of Waterloo
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:9 releases, 76 reviews, 13 commits in 2 months
Contributions summary:Yuming's contributions primarily involve adding and modifying integration tests within the repository. They implemented a test that integrates the Label Studio brick with the SDK. Furthermore, the user worked on compatibility updates. The commits show a focus on ensuring the software's reliability and integration capabilities through comprehensive testing.
Contributions:2 pushes, 1 branch in 2 years 3 months
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Yuming Long - Senior Software Engineer at unstructured.io