roman-corgi/corgidrp
Dec 2024 – Apr 2026
14 Months active
Languages Used
PythonShellFITSMarkdownRSTrstHTMLJSON
Technical Skills
AstropyConfiguration ManagementData AnalysisData CalibrationData ProcessingDebugging
juliamilton
PROFILE
Juliamilton
Over 14 months, Jānis Zarins developed and maintained calibration, photometry, and spectroscopy pipelines for the roman-corgi/corgidrp repository, focusing on reliable scientific data processing. He engineered end-to-end workflows for ND filter calibration, flat-fielding, and dark frame handling, integrating robust test automation and data validation throughout. Using Python, Astropy, and FITS file handling, Jānis standardized data formats, improved header propagation, and enhanced calibration logic to support reproducible, production-ready outputs. His work included code refactoring, documentation updates, and test infrastructure improvements, resulting in higher data integrity, maintainability, and faster release cycles for complex astronomical data products and calibration systems.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
394Total
Bugs
37
Commits
394
Features
109
Lines of code
136,325
Activity Months14
Your Network
36 peopleShared Repositories
36
maillardMember
Alexis LauMember
Aneesh BaburajMember
bensutlieffMember
clarissardooMember
Ell BogatMember
Eric ShenMember
Ezar ShinbaroMember
Jason WangMember
Work History
April 2026
10 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for roman-corgi/corgidrp: Key features delivered include Calibration and FlatField pipeline enhancements with dark frame support, consolidating calibration tracking, bad pixel mapping, dark frame handling (including synthetic dark frames), and end-to-end/test script updates to increase calibration accuracy and reliability. Major bugs fixed include corrected flat-field output filenames, updated BP map from darks to improve calibration accuracy, added missing import in test_badpixelmap.py, and alignment updates in caldb tests/headers. Overall impact: improved data quality and reliability of calibrations, enabling faster, more reproducible science outputs and reducing post-processing rework. Technologies/skills demonstrated: Python-based calibration pipelines, test automation, end-to-end validation, and robust I/O handling.
10 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for roman-corgi/corgidrp: Key features delivered include Calibration and FlatField pipeline enhancements with dark frame support, consolidating calibration tracking, bad pixel mapping, dark frame handling (including synthetic dark frames), and end-to-end/test script updates to increase calibration accuracy and reliability. Major bugs fixed include corrected flat-field output filenames, updated BP map from darks to improve calibration accuracy, added missing import in test_badpixelmap.py, and alignment updates in caldb tests/headers. Overall impact: improved data quality and reliability of calibrations, enabling faster, more reproducible science outputs and reducing post-processing rework. Technologies/skills demonstrated: Python-based calibration pipelines, test automation, end-to-end validation, and robust I/O handling.
April 2026
March 2026
30 Commits • 10 Features
Mar 1, 2026March 2026 monthly summary for roman-corgi/corgidrp highlighting key features delivered, major bug fixes, and overall impact. The quarter focused on extending spectroscopy capabilities, refining calibration logic, and strengthening testing/documentation to accelerate reliable data products and reduce regression risk.
March 2026
30 Commits • 10 Features
Mar 1, 2026March 2026 monthly summary for roman-corgi/corgidrp highlighting key features delivered, major bug fixes, and overall impact. The quarter focused on extending spectroscopy capabilities, refining calibration logic, and strengthening testing/documentation to accelerate reliable data products and reduce regression risk.
February 2026
49 Commits • 15 Features
Feb 1, 2026February 2026 (roman-corgi/corgidrp) delivered a focused set of code quality, data integrity, and validation improvements that collectively increase reliability, maintainability, and scientific accuracy across the data processing pipeline. Key features were implemented with attention to documentation and testability, enabling smoother onboarding and faster iteration cycles.
49 Commits • 15 Features
Feb 1, 2026February 2026 (roman-corgi/corgidrp) delivered a focused set of code quality, data integrity, and validation improvements that collectively increase reliability, maintainability, and scientific accuracy across the data processing pipeline. Key features were implemented with attention to documentation and testability, enabling smoother onboarding and faster iteration cycles.
February 2026
January 2026
23 Commits • 9 Features
Jan 1, 2026In January 2026, delivered targeted features and fixes in roman-corgi/corgidrp that improve data accuracy, reliability, and maintainability, positioning the project for faster validation and deployment of data products. Key outcomes include header propagation enhancements for combined frames with updated L1 headers and corresponding test updates; refinements to calibration product pages, BP map, and core throughput; strengthened test infrastructure with resets and mocks fixes; improvements to PA_APER sorting and orientation keywords; and a code readability/documentation refresh to reduce future maintenance.
January 2026
23 Commits • 9 Features
Jan 1, 2026In January 2026, delivered targeted features and fixes in roman-corgi/corgidrp that improve data accuracy, reliability, and maintainability, positioning the project for faster validation and deployment of data products. Key outcomes include header propagation enhancements for combined frames with updated L1 headers and corresponding test updates; refinements to calibration product pages, BP map, and core throughput; strengthened test infrastructure with resets and mocks fixes; improvements to PA_APER sorting and orientation keywords; and a code readability/documentation refresh to reduce future maintenance.
December 2025
27 Commits • 10 Features
Dec 1, 2025December 2025 contributions for roman-corgi/corgidrp focused on Reliability, Data Integrity, and Cross-Platform consistency. Implemented 32-bit image support with full dtype propagation across configuration, kgain saving, and end-to-end tests, enabling accurate tolerances and broader data compatibility. Improved PSF location handling by using known coordinates, reducing variability in PSF-related pipelines. Strengthened data type governance and documentation, including explicit float32/float64 considerations, bitpix handling, and data format docs, to improve onboarding and cross-team collaboration. Implemented targeted precision improvements at the code level and in tests (favoring float64 where appropriate) to reduce rounding errors in critical analytics. Consolidated stability by merging develop changes and reverting to 64-bit representation where required to align with downstream consumers. Business value includes more reliable analytics results, fewer false negatives/positives in tests, and clearer data-format expectations for downstream users and collaborators.
27 Commits • 10 Features
Dec 1, 2025December 2025 contributions for roman-corgi/corgidrp focused on Reliability, Data Integrity, and Cross-Platform consistency. Implemented 32-bit image support with full dtype propagation across configuration, kgain saving, and end-to-end tests, enabling accurate tolerances and broader data compatibility. Improved PSF location handling by using known coordinates, reducing variability in PSF-related pipelines. Strengthened data type governance and documentation, including explicit float32/float64 considerations, bitpix handling, and data format docs, to improve onboarding and cross-team collaboration. Implemented targeted precision improvements at the code level and in tests (favoring float64 where appropriate) to reduce rounding errors in critical analytics. Consolidated stability by merging develop changes and reverting to 64-bit representation where required to align with downstream consumers. Business value includes more reliable analytics results, fewer false negatives/positives in tests, and clearer data-format expectations for downstream users and collaborators.
December 2025
November 2025
65 Commits • 17 Features
Nov 1, 2025November 2025 focused on delivering robust feature enhancements, expanding test coverage, and improving code quality and documentation for corgidrp. Key outcomes include API/documentation improvements for pol flat, a comprehensive L4->TDA VAP test suite with flux computations, core spec and throughput enhancements for more accurate flux-based calculations, and strengthened test infrastructure and observability that increased release confidence.
November 2025
65 Commits • 17 Features
Nov 1, 2025November 2025 focused on delivering robust feature enhancements, expanding test coverage, and improving code quality and documentation for corgidrp. Key outcomes include API/documentation improvements for pol flat, a comprehensive L4->TDA VAP test suite with flux computations, core spec and throughput enhancements for more accurate flux-based calculations, and strengthened test infrastructure and observability that increased release confidence.
October 2025
19 Commits • 3 Features
Oct 1, 2025October 2025 (2025-10) delivered a focused set of improvements to roman-corgi/corgidrp that boosted reliability, traceability, and data integrity. Key features include a centralized, robust file naming system for mocks/tests/data generation, and an enhanced calibration test infra using a temporary CalDB to isolate test data. Documentation and data format consistency were improved across FITS data handling, VISTYPE standardization, and cross-reference tests, paired with a cleanup of the test suite for ND/calibration pipelines. Together, these changes reduced flaky tests, improved debugging, and accelerated safe releases.
19 Commits • 3 Features
Oct 1, 2025October 2025 (2025-10) delivered a focused set of improvements to roman-corgi/corgidrp that boosted reliability, traceability, and data integrity. Key features include a centralized, robust file naming system for mocks/tests/data generation, and an enhanced calibration test infra using a temporary CalDB to isolate test data. Documentation and data format consistency were improved across FITS data handling, VISTYPE standardization, and cross-reference tests, paired with a cleanup of the test suite for ND/calibration pipelines. Together, these changes reduced flaky tests, improved debugging, and accelerated safe releases.
October 2025
September 2025
27 Commits • 8 Features
Sep 1, 2025September 2025 (2025-09) performance summary for roman-corgi/corgidrp: Delivered targeted improvements in logging/observability, test infrastructure, and documentation; modernized End-to-End tests with aligned outputs; aligned templates with develop; reinforced validation through throughput/caldb initialization; fixed critical test filename and keyword issues; laid groundwork for documentation features and Excel-based E2E docs. These changes enhanced observability, reliability of test suites, and maintainability, enabling faster bug detection and higher quality releases.
September 2025
27 Commits • 8 Features
Sep 1, 2025September 2025 (2025-09) performance summary for roman-corgi/corgidrp: Delivered targeted improvements in logging/observability, test infrastructure, and documentation; modernized End-to-End tests with aligned outputs; aligned templates with develop; reinforced validation through throughput/caldb initialization; fixed critical test filename and keyword issues; laid groundwork for documentation features and Excel-based E2E docs. These changes enhanced observability, reliability of test suites, and maintainability, enabling faster bug detection and higher quality releases.
August 2025
29 Commits • 9 Features
Aug 1, 2025August 2025 – roman-corgi/corgidrp monthly summary: Summary: Delivered core platform improvements with a focus on reliable data handling, consistent naming, and robust test infrastructure. The work reduced production risk, improved integration reliability, and accelerated feedback for developers and stakeholders. Impact and business value: Improved L1 header parsing and documentation alignment, standardized filename conventions across modules, and refined data formatting to ensure downstream consistency. Fixed PAM parameter values to eliminate misconfigurations. Strengthened end-to-end testing with broader coverage and streamlined pytest infrastructure, enabling safer deployments and faster release cycles. Overall accomplishments: These changes deliver clearer data paths, more maintainable code, and a stronger testing backbone, directly contributing to product reliability and developer efficiency. Technologies/skills demonstrated: Python refactoring and documentation, tests and pytest enhancements, end-to-end test automation, data formatting, and configuration fixes.
29 Commits • 9 Features
Aug 1, 2025August 2025 – roman-corgi/corgidrp monthly summary: Summary: Delivered core platform improvements with a focus on reliable data handling, consistent naming, and robust test infrastructure. The work reduced production risk, improved integration reliability, and accelerated feedback for developers and stakeholders. Impact and business value: Improved L1 header parsing and documentation alignment, standardized filename conventions across modules, and refined data formatting to ensure downstream consistency. Fixed PAM parameter values to eliminate misconfigurations. Strengthened end-to-end testing with broader coverage and streamlined pytest infrastructure, enabling safer deployments and faster release cycles. Overall accomplishments: These changes deliver clearer data paths, more maintainable code, and a stronger testing backbone, directly contributing to product reliability and developer efficiency. Technologies/skills demonstrated: Python refactoring and documentation, tests and pytest enhancements, end-to-end test automation, data formatting, and configuration fixes.
August 2025
April 2025
17 Commits • 2 Features
Apr 1, 2025April 2025: Focused product simplification and test reliability improvements in roman-corgi/corgidrp. Product scope was tightened by removing the Recipe feature, while building a stronger testing foundation and data quality checks to support stable releases. Key outcomes include complete removal of the Recipe feature with template rename and cache cleanup, along with a comprehensive upgrade of the testing infrastructure and mocks to improve coverage and reliability across end-to-end flows.
April 2025
17 Commits • 2 Features
Apr 1, 2025April 2025: Focused product simplification and test reliability improvements in roman-corgi/corgidrp. Product scope was tightened by removing the Recipe feature, while building a stronger testing foundation and data quality checks to support stable releases. Key outcomes include complete removal of the Recipe feature with template rename and cache cleanup, along with a comprehensive upgrade of the testing infrastructure and mocks to improve coverage and reliability across end-to-end flows.
March 2025
45 Commits • 9 Features
Mar 1, 2025March 2025 for roman-corgi/corgidrp delivered substantial calibration product improvements, stabilized tests, and strengthened code quality. Key features delivered: ND Filter Calibration Product Enhancements with standardized inputs (dataset files or keyword args), updated header generation, and ND calibration file naming improvements, plus broader test coverage. Major bugs fixed: Flux Calibration test failure remediation; dark calibration data level fix; FM method reliability fixes; PSF sub-efficiency recovery; and test harness/CI stability improvements. Documentation and quality work: docstring updates, lint fixes, and naming standardization across modules. Additional progress included initial repository bootstrap, multiple companions support, unit test expansion, and mocks/testing harness enhancements. Overall impact: more reliable, reproducible calibration results, faster CI feedback, and improved developer productivity and onboarding. Technologies/skills demonstrated: Python tooling and refactor ability, test-driven development, mocks and test harness adjustments, documentation standards, naming conventions, and coverage expansions.
45 Commits • 9 Features
Mar 1, 2025March 2025 for roman-corgi/corgidrp delivered substantial calibration product improvements, stabilized tests, and strengthened code quality. Key features delivered: ND Filter Calibration Product Enhancements with standardized inputs (dataset files or keyword args), updated header generation, and ND calibration file naming improvements, plus broader test coverage. Major bugs fixed: Flux Calibration test failure remediation; dark calibration data level fix; FM method reliability fixes; PSF sub-efficiency recovery; and test harness/CI stability improvements. Documentation and quality work: docstring updates, lint fixes, and naming standardization across modules. Additional progress included initial repository bootstrap, multiple companions support, unit test expansion, and mocks/testing harness enhancements. Overall impact: more reliable, reproducible calibration results, faster CI feedback, and improved developer productivity and onboarding. Technologies/skills demonstrated: Python tooling and refactor ability, test-driven development, mocks and test harness adjustments, documentation standards, naming conventions, and coverage expansions.
March 2025
February 2025
32 Commits • 13 Features
Feb 1, 2025February 2025 performance summary for roman-corgi/corgidrp. Focused on delivering calibration and photometry enhancements, improving data integrity, and stabilizing the test base to enable dual-product support. Highlights include: ObsID keyword integration and cal file naming; centroiding enhancements with astrom.py and ROI; photometry options for background subtraction and star-center localization; ND interpolation integration; and dual-product readiness with robust test stabilization. Impact: more reliable calibrations, flexible photometry workflows, and faster release-readiness with fewer defects.
February 2025
32 Commits • 13 Features
Feb 1, 2025February 2025 performance summary for roman-corgi/corgidrp. Focused on delivering calibration and photometry enhancements, improving data integrity, and stabilizing the test base to enable dual-product support. Highlights include: ObsID keyword integration and cal file naming; centroiding enhancements with astrom.py and ROI; photometry options for background subtraction and star-center localization; ND interpolation integration; and dual-product readiness with robust test stabilization. Impact: more reliable calibrations, flexible photometry workflows, and faster release-readiness with fewer defects.
January 2025
15 Commits • 2 Features
Jan 1, 2025January 2025 performance summary for roman-corgi/corgidrp focused on delivering a robust calibration pipeline and improving code quality. Key work centered in the NDFilter calibration feature set, data ingestion reliability, and maintainability improvements.
15 Commits • 2 Features
Jan 1, 2025January 2025 performance summary for roman-corgi/corgidrp focused on delivering a robust calibration pipeline and improving code quality. Key work centered in the NDFilter calibration feature set, data ingestion reliability, and maintainability improvements.
January 2025
December 2024
6 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary focused on the ND Filter Calibration System delivered for roman-corgi/corgidrp. Implemented an end-to-end calibration workflow including optical density (OD) computation, star centroiding, integrated flux analysis, and processing of image datasets into a sweet-spot calibration product with attenuation metrics and star position data. Added header metadata improvements, data handling enhancements, and FITS outputs; developed tests to verify calibration functionality and to support robust data products. Aligned the calibration pipeline with flux calibration integration, including improvements to transmission efficiency, target grouping, and mock data/test setup, to support production readiness. Strengthened pipeline robustness during an algorithm transition by employing mock-based validation and ensuring reproducibility of results. These efforts deliver higher calibration accuracy, improved downstream flux calibration reliability, and production-ready, traceable data products, while showcasing strong software craftsmanship across Python-based data processing, image analysis, and metadata management.
December 2024
6 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary focused on the ND Filter Calibration System delivered for roman-corgi/corgidrp. Implemented an end-to-end calibration workflow including optical density (OD) computation, star centroiding, integrated flux analysis, and processing of image datasets into a sweet-spot calibration product with attenuation metrics and star position data. Added header metadata improvements, data handling enhancements, and FITS outputs; developed tests to verify calibration functionality and to support robust data products. Aligned the calibration pipeline with flux calibration integration, including improvements to transmission efficiency, target grouping, and mock data/test setup, to support production readiness. Strengthened pipeline robustness during an algorithm transition by employing mock-based validation and ensuring reproducibility of results. These efforts deliver higher calibration accuracy, improved downstream flux calibration reliability, and production-ready, traceable data products, while showcasing strong software craftsmanship across Python-based data processing, image analysis, and metadata management.
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Quality Metrics
Correctness90.0%
Maintainability88.4%
Architecture86.2%
Performance83.6%
AI Usage21.0%
Skills & Technologies
Programming Languages
CSVFITSHTMLJSONMarkdownPythonRSTShellreStructuredTextrst
Technical Skills
AstrometryAstronomyAstronomy SoftwareAstronomy Software DevelopmentAstrophysicsAstropyBackend DevelopmentBranch ManagementCI/CDCalibrationCalibration PipelineCalibration PipelinesCalibration pipelineCalibration pipeline testingClass Definition
Repositories Contributed To
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