Joshua Higginbotham is a software engineer and MS student in AI with nine years of hands-on experience building and optimizing systems across C++, Python, JavaScript, Vulkan/OpenGL, and PostgreSQL. He designs pragmatic, well-documented, and maintainable solutions—prioritizing software that works, teaches its readers, and grows gracefully—while fostering collaborative, learning-focused teams. His background spans flight-simulation visualization performance work, full-stack web apps for social impact, and automated testing for ERP systems, plus peer teaching experience supporting undergraduates. An active open-source contributor, he has automated complex build recipes for the JuliaPackaging/Yggdrasil ecosystem, demonstrating attention to reproducible builds and cross-project collaboration. Based in Arlington, TX, he combines deep engineering craft with a pedagogy-driven mindset that makes codebases more approachable and changeable.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Texas A&M University
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at University of North Texas
Collection of builder repositories for BinaryBuilder.jl
Role in this project:
Automation Engineer / Build & Release Engineer
Contributions:17 reviews, 7 commits, 8 PRs in 1 month
Contributions summary:Joshua's primary contribution focused on creating and updating build recipes for various libraries within the BinaryBuilder.jl framework. Their work involved modifying build scripts (build_tarballs.jl files) to incorporate new features, address compilation issues, and manage dependencies for packages like SDL2_net, shaderc, OpenGLMathematics, Telescope, and Bullet Physics Engine. The user frequently collaborated with Mosè Giordano, indicating a team effort on these build automation tasks. The user also managed git submodules and applied patches.
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