roman-corgi/corgidrp
Feb 2026 – Mar 2026
2 Months active
Languages Used
PythonJSON
Technical Skills
PythonPython programmingbackend developmentdata processingdata validationpytest
Michael Liang
PROFILE
Michael Liang
Michael Liang contributed to the roman-corgi/corgidrp repository by enhancing data integrity and processing reliability in Python-based pipelines. He implemented datatype normalization for FITS header fields, ensuring consistent handling of PHTCNT, ISPC, and RN headers, and updated related documentation, test data, and pipeline logic to reduce downstream type errors. Michael also developed a science-frame filtering feature that discards non-science frames based on FITS header keywords, refactoring the discard_setup_frames workflow and integrating comprehensive unit tests using pytest. His work improved data validation, recipe management, and overall maintainability, demonstrating depth in backend development and a focus on robust, test-driven engineering practices.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
1
Lines of code
790
Activity Months2
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Aneesh BaburajMember
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clarissardooMember
Ell BogatMember
Eric ShenMember
Ezar ShinbaroMember
Jason WangMember
Work History
March 2026
6 Commits • 1 Features
Mar 1, 2026March 2026 (roman-corgi/corgidrp) delivered significant quality and reliability improvements to the data processing pipeline. A new science-frame filtering feature was implemented to discard non-science frames based on FITS header keywords, elevating data quality and reducing downstream processing errors. The discard_setup_frames workflow was refactored and thoroughly tested to ensure correct ordering before calibration steps, with a dedicated unit-test suite and recipe-adjustments.
6 Commits • 1 Features
Mar 1, 2026March 2026 (roman-corgi/corgidrp) delivered significant quality and reliability improvements to the data processing pipeline. A new science-frame filtering feature was implemented to discard non-science frames based on FITS header keywords, elevating data quality and reducing downstream processing errors. The discard_setup_frames workflow was refactored and thoroughly tested to ensure correct ordering before calibration steps, with a dedicated unit-test suite and recipe-adjustments.
March 2026
February 2026
2 Commits
Feb 1, 2026February 2026 monthly summary for roman-corgi/corgidrp focusing on data integrity improvements for header handling. Implemented datatype normalization for PHTCNT, ISPC, and RN headers, with PHTCNT consistently treated as a string during Image initialization. Updated the pipeline, mocks, test data, documentation, and related tests to align with the new header contracts, reducing downstream type-related errors and improving reliability of image processing.
February 2026
2 Commits
Feb 1, 2026February 2026 monthly summary for roman-corgi/corgidrp focusing on data integrity improvements for header handling. Implemented datatype normalization for PHTCNT, ISPC, and RN headers, with PHTCNT consistently treated as a string during Image initialization. Updated the pipeline, mocks, test data, documentation, and related tests to align with the new header contracts, reducing downstream type-related errors and improving reliability of image processing.
Activity
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Quality Metrics
Correctness100.0%
Maintainability95.0%
Architecture97.6%
Performance95.0%
AI Usage27.6%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
PythonPython programmingbackend developmentdata processingdata validationpytestrecipe managementsoftware developmentsoftware testingtestingunit testing
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