Drew Bollinger
Machine Learning Engineer at Brightband
Washington, District of Columbia, United States
Summary
🤩
Rockstar🎓
Top SchoolDrew Bollinger is a machine learning engineer with 11 years of experience building production-ready ML and geospatial systems, currently at Brightband in Washington, D.C. He has led ML teams and research at Development Seed and improved cloud.gov’s Pages product with performance, security, and FedRAMP-focused hardening work. Drew contributes to notable open-source projects in Earth observation and mapping—adding GeoTIFF ingestion and reprojection fixes to eo-learn and landsat-util, plus UX and API improvements to Mapbox GL Draw—demonstrating deep back-end and full-stack chops. He combines rigorous testing and CI/CD practices with practical optimizations that have cut build times and scaled inference to millions or billions of records. Trained in mathematics and performance as a dual-degree undergraduate, he brings analytical rigor and an uncommon creative background to engineering and team leadership.
11 years of coding experience
11 years of employment as a software developer
BS, BM, Mathematics, Vocal Performance, BS, BM, Mathematics, Vocal Performance at University of Michigan
Stackoverflow
196reputation
12kreached
4answers
0questions
Github Skills (25)
javascript10
mapbox-gl-js10
python10
image-processing10
testing10
machine-learning10
geospatial10
drawing10
spatial-data10
numpy10
geo10
rasterio10
spatial10
api-design9
api8
Programming languages (18)
Github contributions (5)
developmentseed/landsat-util
Mar 2015 - Jan 2017
A utility to search, download and process Landsat 8 satellite imagery
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 25 commits, 14 PRs in 1 year 10 months
Contributions summary:Drew primarily contributed to the back-end logic of the landsat-util project. Their work involved fixing bounds and reprojection transforms within the image processing module, which impacted how Landsat imagery is handled. They also addressed bugs related to pixel scaling and color correction. The user also updated tests and configurations to align with API and file size changes.
satellite-imagerysatelliteearth-observationsatellite-dataimagery
mapbox/mapbox-gl-draw
Dec 2015 - Mar 2017
Draw tools for mapbox-gl-js
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:46 commits, 12 PRs, 53 comments in 1 year 3 months
Contributions summary:Drew contributed to the development of draw tools for mapbox-gl-js, adding features like support for user-defined styles and creating permanent objects. They refactored internal APIs and implemented features related to line continuation. Additionally, the user made corrections to tests and added new ones, demonstrating a focus on testing and maintaining code quality.
mapboxdrawmapbox-gljavascriptmapbox-gl-js
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