Matthew Perry is a Data Engineer with 19 years of experience specializing in geospatial software and open-source tooling, based in Fort Collins, Colorado. He has contributed substantive back-end and full-stack work to prominent projects like GeoPandas, Rasterio, Fiona, and Mapbox GL Jupyter, improving core geointerfaces, spatial operations, and CLI/data visualization features. His work spans robust testing, performance fixes, and user-facing enhancements—such as GeoJSON handling, spatial overlays, and notebook map rendering—showing a balance of engineering rigor and usability focus. Notably, he has implemented fresh CLI commands, spatial overlay algorithms, and GeoJSON providers, and he maintains personal tooling (simanneal, python-rasterstats) that reflect an interest in optimization and reproducible geospatial analysis.
Summary statistics of geospatial raster datasets based on vector geometries.
Role in this project:
Backend Developer
Contributions:11 releases, 20 reviews, 360 commits in 9 years 5 months
Contributions summary:Matthew primarily contributed to improving the project documentation, as indicated by their frequent updates to the README file. They introduced enhancements to the README such as adding build status and version badges, which likely helps with project visibility and maintainability. Furthermore, the user made adjustments to the documentation to clarify the project's features, usage, and various parameters which shows they have knowledge of how the core functionality of the project works. The user fixed a bug related to handling of edge cases in the codebase.
Python module for Simulated Annealing optimization
Role in this project:
Back-end Developer
Contributions:1 release, 1 review, 63 commits in 7 years 8 months
Contributions summary:Matthew primarily contributed to the core functionality of the `simanneal` Python module. Their work involved refactoring the code, implementing a new class structure, and enhancing the documentation with a complete readme file. They also made substantial improvements to the annealing algorithm and added examples, including a travelling salesman problem example. Furthermore, they made build and release updates, including updating the package version, description, and related utilities.
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