Martin Chase

Portland, Oregon, United States
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Summary

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Martin Chase is a pragmatic senior software engineer with 15 years building web applications and operational systems from startups to nonprofits, based in Portland, Oregon. He blends strong mathematical training (BA and post-grad math) with hands-on experience in Django, TDD, and agile maintenance, giving him a clear eye for long-term technical debt. Notable open-source contributions include performance-focused enhancements to the pyqtgraph library—adding CUDA acceleration and richer visualization primitives—reflecting an interest in data-heavy, scientific UIs. He has led production work ranging from warehouse logistics and predictive purchasing to live-streaming prototypes and consensus-run nonprofit tech, and enjoys tackling problems that require more than “finite algebra.” Passionate about personal data discovery and improving the human condition, he excels at shipping practical solutions in chaotic environments.
code15 years of coding experience
job15 years of employment as a software developer
bookPost-grad Math, Post-grad Math at University of Colorado Denver
bookBA, Math, BA, Math at Metropolitan State University of Denver
languagesSpanish
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Stackoverflow

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Github Skills (8)

scientific-visualization10
visualization10
front-end-development10
visualizations10
qt10
python10
numpy10
cuda9

Programming languages (9)

C++CPLpgSQLJavaScriptKiCadHTMLJupyter NotebookPython

Github contributions (5)

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pyqtgraph/pyqtgraph

Oct 2022 - Oct 2022

Fast data visualization and GUI tools for scientific / engineering applications
Role in this project:
userBack-end & UI Developer
Contributions:78 reviews, 2 commits, 78 PRs in 1 day
Contributions summary:Martin contributed primarily to improving the `pyqtgraph` library's functionality. They refactored and enhanced the `Vector` and `ImageItem` classes, adding docstrings, improving formatting, and addressing specific issues. A significant contribution includes adding CUDA GPU acceleration to `ImageItem` for performance enhancement. Further, they improved the visualization capabilities, implementing features such as equilateral TriangleROI and conditional labeling of the axis.
pythonnumpydata-and-visualizationguiengineering
outofculture/neuroanalysis

Dec 2021 - Mar 2025

Modular analysis tools for neurophysiology data
Contributions:2 PRs, 78 pushes, 9 branches in 3 years 4 months
connectivityneuroimagingpythonneuroscienceanalysis-tools
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Martin Chase