Shi Yan is a Senior Applied Scientist in Austin with 14 years of experience building high-performance graphics and machine learning systems across companies from NVIDIA to Adobe. He combines deep graphics expertise—OpenGL, Vulkan, Wayland, color-space handling in production renderers—with applied ML and research experience from a Ph.D. at UC Davis, delivering pragmatic solutions for cloud and embedded graphics. At NVIDIA he led automotive graphics and next-gen cloud streaming work, and his open-source contributions include color-space improvements to the widely used Krita digital painting app, highlighting attention to visual fidelity. Comfortable across C++, GLSL, CUDA and production pipelines, he bridges research and engineering to ship complex, performance-critical software.
14 years of coding experience
18 years of employment as a software developer
Ph.D Computer Science, Ph.D Computer Science at University of California, Davis
BS Computer Science, BS Computer Science at Beijing University of Technology
Krita is a free and open source cross-platform application that offers an end-to-end solution for creating digital art files from scratch built on the KDE and Qt frameworks.
Role in this project:
Back-end Developer
Contributions:26 commits in 8 months
Contributions summary:Shi primarily worked on extending the functionality of Krita, a digital art application. Their contributions centered on implementing color space conversions within the OpenGL texture blitter, which improved color handling in the rendering pipeline. They added support for various color space transitions, including sRGB, scRGB, and BT2020PQ, and introduced a method to manage color space notifications from OpenGL widgets to the compositor, ensuring correct color conversions.
Contributions:97 commits, 108 pushes, 2 branches in 4 years 7 months
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