Priciple Senior System Analyst at Raytheon Intelligence & Space
Torrance, California, United States
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Summary
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David Tressel is a Principal Senior System Analyst with 15 years in senior roles and a software career stretching back to the early 1980s, currently delivering systems engineering expertise at Raytheon Intelligence & Space from Torrance, CA. He brings deep low-level and full-stack experience—evidenced by open-source contributions to Khronos projects like WebGL and WebGPU, where he implemented transform feedback tests and a WebGPU workload simulator used for performance testing. Known for pragmatic problem solving, he has a track record of improving rendering pipelines, fixing deprecations, and adapting build processes to modern deployment targets such as GitHub Pages. A Harvard-trained physicist by background, he combines analytical rigor with hands-on coding (or, as his GitHub bio puts it succinctly, “I multiply matrices”). Colleagues rely on him to translate complex requirements into testable, performant systems and to mentor teams through long-lived programs and evolving web graphics standards.
15 years of coding experience
29 years of employment as a software developer
Physics General Physics (concentrating in Astro Physics), Physics General Physics (concentrating in Astro Physics) at Harvard University
Contributions:15 reviews, 44 commits, 44 PRs in 7 years 2 months
Contributions summary:David contributed to the WebGL repository by adding new features and functionality, specifically related to transform feedback, and rendering new tests. They implemented tests related to transform feedback buffer use, simultaneous binding, and too-small buffers. The user made modifications to existing files and created new test files.
Contributions:6 reviews, 8 commits, 6 PRs in 11 months
Contributions summary:David primarily contributed to the WebGPU workload simulator sample within the repository. Their work involved adding the simulator, which allows users to vary parameters for WebGPU performance testing. They fixed deprecation warnings, improved rendering, and addressed issues related to multisampling and render bundles within the sample code. Additionally, they modified the build process to deploy samples to GitHub pages.
gpu-programminggpuwebgl2webgpugpgpu-computing
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David Tressel - Priciple Senior System Analyst at Raytheon Intelligence & Space