nsidc/earthaccess
Feb 2026 – Feb 2026
1 Month active
Languages Used
Python
Technical Skills
API DevelopmentAPI developmentAPI integrationCode LintingCode ReviewPython
Benjamin Root
PROFILE
Benjamin Root
Contributed to the nsidc/earthaccess and OSGeo/gdal repositories by building a robust file download feature and improving data type handling in geospatial workflows. Developed a resilient download flow with partial-file support, atomic replacement using context managers, and force redownload options, all validated through comprehensive unit testing and code linting in Python. Enhanced code maintainability with standardized formatting and improved exception handling. In OSGeo/gdal, addressed data integrity by ensuring NumPy boolean arrays correctly map to GDAL’s byte type, preventing data corruption in formats like GeoTIFF. Demonstrated strengths in backend development, data handling, and clean code practices across both projects.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
14Total
Bugs
2
Commits
14
Features
1
Lines of code
550
Activity Months2
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144 peopleShared Repositories
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Work History
February 2026
13 Commits • 1 Features
Feb 1, 2026February 2026 focused on delivering a robust download feature for nsidc/earthaccess and strengthening code quality. Key outcomes include a resilient download flow with partial-file support and atomic replacement, plus comprehensive linting and maintainability improvements that reduce risk of regressions and accelerate future work. The work emphasizes business value through reliability, safer retry semantics, and cleaner, more maintainable codebase.
13 Commits • 1 Features
Feb 1, 2026February 2026 focused on delivering a robust download feature for nsidc/earthaccess and strengthening code quality. Key outcomes include a resilient download flow with partial-file support and atomic replacement, plus comprehensive linting and maintainability improvements that reduce risk of regressions and accelerate future work. The work emphasizes business value through reliability, safer retry semantics, and cleaner, more maintainable codebase.
February 2026
June 2025
1 Commits
Jun 1, 2025June 2025: Focused on correctness of data type handling in the GDAL Python bindings, delivering a targeted fix to ensure NumPy boolean arrays map to GDAL's byte data type. This prevents incorrect promotions and potential data corruption when writing to formats like GeoTIFF, improving reliability for geospatial workflows.
June 2025
1 Commits
Jun 1, 2025June 2025: Focused on correctness of data type handling in the GDAL Python bindings, delivering a targeted fix to ensure NumPy boolean arrays map to GDAL's byte data type. This prevents incorrect promotions and potential data corruption when writing to formats like GeoTIFF, improving reliability for geospatial workflows.
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Quality Metrics
Correctness94.4%
Maintainability91.4%
Architecture91.4%
Performance90.0%
AI Usage22.8%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DevelopmentAPI developmentAPI integrationCode LintingCode ReviewData HandlingNumPy IntegrationPythonPython ProgrammingPython programmingTestingUnit Testingbackend developmentclean code practicescontext management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
OSGeo/gdal
Jun 2025 – Jun 2025
1 Month active
Languages Used
Python
Technical Skills
Data HandlingNumPy IntegrationTesting