Bomani Mcclendon is a product-minded software engineer and founder with 11 years of experience building interactive web experiences at the intersection of music, technology, and culture as Partner & Co-Founder of Nota. He has led engineering teams at Duolingo focusing on animation tooling and experimental systems, and earlier shipped multimedia web products at Genius and Facebook that combined front-end craftsmanship with data-driven product work. An active open-source contributor, Bomani maintained and improved documentation and examples for ml5.js, helping keep friendly web ML accessible to developers. He teaches physical computing and has prototyped sensor- and vision-driven installations, demonstrating a blend of creative technology and practical engineering. Based in NYC, he pairs entrepreneurial leadership with hands-on front-end and tooling expertise, often surfacing elegant UX improvements that make complex tech approachable.
11 years of coding experience
8 years of employment as a software developer
Master of Professional Studies, Interactive Telecommunications, Master of Professional Studies, Interactive Telecommunications at New York University
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Northwestern University
Contributions:3 releases, 60 reviews, 156 commits in 2 years 1 month
Contributions summary:Bomani primarily focused on improving the documentation and examples related to the ml5.js library. They addressed configuration issues within the documentation framework, specifically fixing Docsify settings. The user also updated the build process, separating example files and library files into separate build target files. Furthermore, they focused on improving the project's structure, including moving index.html and updating example file paths to use relative paths.
Contributions:13 commits, 8 PRs, 13 pushes in 1 month
Contributions summary:Bomani primarily focused on updating the ml5.js examples repository. Their main contribution was updating ml5 library references within the HTML files to the latest version, ensuring compatibility and access to the most recent features. They also updated a script to reference the latest ml5 library in production mode. Additionally, the user added a redirect to a new website, streamlining the user experience.
ml5machine-learningattribution
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