Alex Vorbau
UI Lead at Veeam Software
Los Altos, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAlex Vorbau is a UI leader with 14 years of experience designing and shipping front-end systems for enterprise storage and cloud products, currently heading UI at Veeam in Los Altos. He blends hands-on implementation—having built component libraries, redesigned cloud portals, and led full product UIs—with engineering management across acquisitions and scaling teams. His background spans research at HP Labs to startup UX engineering at Maginatics, giving him rare depth in both prototyping novel systems and delivering production-grade interfaces. An active open-source contributor, he has implemented geospatial tools like a merge utility in rasterio and plotting/geometry fixes in geopandas, showing comfort across front-end, back-end, and spatial data problems. Colleagues rely on him to translate complex storage and cloud workflows into usable interfaces while maintaining pragmatic engineering discipline.
14 years of coding experience
26 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
Github Skills (26)
unit-testing10
pytest10
python10
testing10
pandas10
geopandas10
gdal10
geospatial10
spatial-data10
geo10
rasterio10
spatial10
unit-test10
shapely10
matplotlib9
Programming languages (6)
Github contributions (5)
geopandas/geopandas
Aug 2015 - Jan 2022
Python tools for geographic data
Role in this project:
Back-end Developer / Data Scientist
Back-end Developer / Data ScientistContributions:14 reviews, 105 commits, 121 PRs in 6 years 6 months
Contributions summary:Alex primarily contributed to enhancing the plotting capabilities of the geopandas library. Their work involved adding support for plotting geometries with z-coordinates, including adding tests to validate functionality. They also focused on improving the library's handling of spatial data, specifically by preserving column order when reading files and adding access to x/y coordinates of point geoseries. Furthermore, the user addressed bugs related to coordinate indexing and file writing, demonstrating proficiency in spatial data manipulation within the Python environment.
pythongeographygeographic-datapython-toolsgeopandas
rasterio/rasterio
Aug 2015 - Nov 2020
Rasterio reads and writes geospatial raster datasets
Role in this project:Back-end Developer
Back-end DeveloperContributions:46 commits, 20 PRs, 116 comments in 5 years 3 months
Contributions summary:Alex implemented a `merge` function within the `rasterio` library, initially as a function and then refactored into a dedicated merge tool. The contributions included integrating the merge functionality, modifying the code to accept raster datasets, and returning an array with a transform. Further changes involved migrating the `merge` functionality from `rasterio/features.py` to a new module. Subsequent commits involved adjustments to the API and integrating with the existing command-line interface for improved functionality and efficiency.
rasteriopythongeospatialmapbox-satellite-ossraster
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