Jay Borseth
Owner at DeepZoom LLC
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJay Borseth is a seasoned software and hardware engineer with over three decades of experience building imaging, video capture, and driver infrastructure—from pioneering Windows video capture at Microsoft to leading the image acquisition pipeline for the Allen Institute’s Microns project. As owner of DeepZoom LLC and Nomad Electronics he combines deep systems-level skills in C/C++ and driver development with modern work in Python, CUDA, OpenCV and JavaScript, often focusing on video, projection and high-performance image processing. His work has produced commercially successful products and foundational platform tech (notably Vidcap/AVICap/WDM) that enabled large-scale digital video content. An active open-source contributor, he has advanced PsychoPy’s projection and high-frame-rate support for specialized hardware. Based in Seattle, he brings a rare blend of kernel-mode expertise, scientific imaging experience, and practical product delivery.
12 years of coding experience
20 years of employment as a software developer
Bachelor of Science, Electronics, computer programming; acoustics, and chemistry, Bachelor of Science, Electronics, computer programming; acoustics, and chemistry at The Evergreen State CollegeCornish Institute of Allied Arts
Stackoverflow
1,933reputation
311kreached
50answers
15questions
Github Skills (12)
pyglet10
python10
opengl9
controls9
experiment8
debugging6
azure6
jupyter-notebook6
visual-studio6
gpu6
numpy6
google-colaboratory6
Programming languages (8)
Github contributions (5)
psychopy/psychopy
Jul 2014 - Aug 2014
For running psychology and neuroscience experiments
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:21 commits in 14 days
Contributions summary:Jay primarily contributed to the visual aspects of the PsychoPy library, specifically focusing on projection techniques. They implemented and refined features related to warping output for various projection types, including spherical, cylindrical, and warpfile-based projections. The user also worked on frame packing for specific hardware (TI LightCrafter 4500), enabling higher frame rates. Additionally, they addressed bugs and made improvements to monitor selection and gamma ramp settings.
neurosciencepythonexperiment-controlcognitive-scienceopenscience
jaybo/deepzoom-blog
Jan 2022 - Apr 2025
Contributions:72 pushes, 2 branches, 3 tags in 3 years 3 months
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