
Worked on the roman-corgi/corgidrp and spacetelescope/catkit2 repositories to enhance data quality pipelines and code maintainability in astronomy software. Delivered nonlinear pixel flagging improvements, expanded 64-bit data support using bitwise operations, and introduced robust flag mapping between decimal and binary representations. Focused on Python and C++ codebases, the work included refining metadata formatting, enforcing endianness, and aligning file naming conventions. Improved test automation and CI hygiene by updating pytest harnesses, fixing lint issues, and ensuring DCO compliance. Addressed standard library includes in C++ headers, supporting reliable compilation and maintainability. Emphasized data validation, calibration, and scientific computing throughout.
March 2025 performance summary for roman-corgi/corgidrp and spacetelescope/catkit2. Focused on delivering robust data quality improvements, extending data path support for large datasets, and strengthening code quality and CI hygiene. Key features delivered span nonlinear pixel flagging improvements in the DQ pipeline, 64-bit data support with packbits/unpackbits, and enhanced metadata formatting and naming conventions across Python and C++ codebases. The work also advances reproducibility and maintainability through improved testing, linting, and DCO compliance.
March 2025 performance summary for roman-corgi/corgidrp and spacetelescope/catkit2. Focused on delivering robust data quality improvements, extending data path support for large datasets, and strengthening code quality and CI hygiene. Key features delivered span nonlinear pixel flagging improvements in the DQ pipeline, 64-bit data support with packbits/unpackbits, and enhanced metadata formatting and naming conventions across Python and C++ codebases. The work also advances reproducibility and maintainability through improved testing, linting, and DCO compliance.

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