Vinicius Reis is a research scientist and ML practitioner based in New York with 13 years of engineering experience building production-ready systems. He combines deep technical fluency in machine learning with hands-on full-stack development, contributing to notable open-source projects such as Facebook Research’s ClassyVision where he improved UI, tutorials, documentation, and code hygiene. Vinicius excels at bridging research and engineering—translating models into usable tooling and clear developer experiences. Colleagues know him for pragmatic cleanups that reduce maintenance burden and for catching subtle usability issues like mobile layout and tutorial correctness. His profile suggests a strengths-first approach: impactful, detail-oriented contributions that improve both developer productivity and user-facing quality.
An end-to-end PyTorch framework for image and video classification
Role in this project:
Full-stack Developer
Contributions:2 releases, 2 reviews, 129 commits in 1 year 2 months
Contributions summary:Vinicius primarily contributed to the `facebookresearch/classyvision` project by addressing issues related to the user interface and website functionality. This included fixing layout problems on mobile devices, enhancing the tutorials by correcting minor code issues and also improving the documentation. Furthermore, the user was involved in code cleanup by removing unused hook methods, as well as removing features. They also made some minor updates to the codebase, such as version updates.
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