Darien Diaz is a Staff Software Engineer with nine years of professional experience building production-grade systems across medical devices, 3D printing, scientific research, and cloud platforms. He blends low-level C++ expertise with Python and C# to deliver real-time instrument control, image and signal processing, and machine learning pipelines for FDA-class medical instruments and research prototypes. At Microsoft and Pacific Biosciences he streamlined deployment and build systems—cutting container sizes and designing multi-compiler C++ build flows—while at startups he shipped vision-driven inspection tools and bionic-eye research software used in human trials. Comfortable across embedded, desktop, and cloud stacks, he also authors build systems and cross-platform tooling (including WebAssembly targets) to support complex CI/CD needs. Based in Cary, NC, Darien pairs rigorous academic training in signals and systems with a knack for turning high-complexity research into robust, auditable products. An underrated strength is his history of inventing pragmatic algorithms and tooling that save operational cost and enable teams to scale experimental systems into regulated production.
Contributions:137 commits, 60 pushes, 7 branches in 1 year 2 months
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