Nathan Ruiz is a multimedia data engineer and former award-winning sports journalist who blends advanced analytics (M.S. from Georgia Tech) with storytelling to turn complex sports and multimedia datasets into engaging, scalable content. With eight years of experience across newsrooms and product teams, he builds automated pipelines that ingest video, 3D assets, and Statcast-level data to produce immersive experiences for partners like Major League Baseball. He pairs hands-on Python/R data work and DevOps-style automation with open-source contributions to notable projects (including build and linting improvements for mpv and protocol updates in a Rust Minecraft client), demonstrating attention to code quality and cross-version compatibility. Based in Baltimore, he’s as comfortable explaining pandemic-era public health trends to readers as he is architecting content workflows for mobile apps and social channels.
8 years of coding experience
Master's degree, Analytics, 4.0, Master's degree, Analytics, 4.0 at Georgia Institute of Technology
Bachelor of Science (B.S.), Sports Management and Sports Media (Dual Degrees), 4.0, Bachelor of Science (B.S.), Sports Management and Sports Media (Dual Degrees), 4.0 at Oklahoma State University
Multi-protocol Minecraft-compatible client written in Rust
Role in this project:
Back-end Developer
Contributions:9 commits, 2 PRs, 6 comments in 1 month
Contributions summary:Nathan made several code changes focused on refactoring and improving the chunk section management within the Minecraft-compatible client. These changes included updating the code to support version 1.18 of the Minecraft protocol, adding tests for parsing chunks across various versions, and implementing the parsing of light values in 1.18. Further contributions involved adding digging functionalities within the entity system and addressing formatting issues.
Contributions:1 review, 1 PR, 7 comments in 16 days
Contributions summary:Nathan's contributions primarily focused on improving the project's build and testing infrastructure. They added checks for code style compliance using various linters, including pyupgrade, pep8 naming conventions, flake8-commas, and ruff, to ensure code quality. Furthermore, they fixed a missing return value in a linting script and enabled pyflakes and pycodestyle checks. These changes demonstrate a strong emphasis on automating code quality analysis and ensuring consistent coding standards within the repository.
mpvlibavplayeraudiovideo-player
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