LSSTDESC/CLMM
Nov 2024 – Apr 2025
4 Months active
Languages Used
PythonYAMLJupyter Notebook
Technical Skills
Build AutomationCI/CDPython PackagingPackage ManagementPython DevelopmentCode Refactoring
Michel Aguena
PROFILE
Michel Aguena
Aguena contributed to the LSSTDESC/CLMM repository by focusing on stability, maintainability, and scientific data integrity over a four-month period. They refactored redshift-related utilities into a centralized module, improving code organization and preparing the codebase for future features. Aguena stabilized CI/CD workflows by upgrading dependencies and aligning package versions, reducing build flakiness and ensuring reliable releases. They addressed a critical bug in cluster ensemble analysis by implementing robust NaN handling for empty radial bins, enhancing data quality and user awareness. Their work demonstrated strong skills in Python, NumPy, and scientific computing, with careful attention to modularization and reproducibility.
Overall Statistics
Feature vs Bugs
25%Features
Repository Contributions
4Total
Bugs
3
Commits
4
Features
1
Lines of code
284
Activity Months4
Your Network
12 people
Work History
April 2025
1 Commits
Apr 1, 2025April 2025 monthly summary focusing on key accomplishments for LSSTDESC/CLMM. This period centers on a critical bug fix that enhances data integrity and visualization quality in cluster ensemble analyses.
1 Commits
Apr 1, 2025April 2025 monthly summary focusing on key accomplishments for LSSTDESC/CLMM. This period centers on a critical bug fix that enhances data integrity and visualization quality in cluster ensemble analyses.
April 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 – CLMM monthly summary for LSSTDESC/CLMM. Key features delivered: - CLMM Utility Consolidation and Refactor: moved redshift-related functionalities and constants into the utils module; updated library version; adjusted import paths to reflect changes. Major bugs fixed: - None reported this month. Overall impact and accomplishments: - Improved maintainability by centralizing redshift utilities, reducing duplication, and clarifying module boundaries. - Prepared the codebase for upcoming redshift-related features, enabling smoother integration and onboarding. Technologies/skills demonstrated: - Python refactoring and modularization, import path management, and versioning discipline.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 – CLMM monthly summary for LSSTDESC/CLMM. Key features delivered: - CLMM Utility Consolidation and Refactor: moved redshift-related functionalities and constants into the utils module; updated library version; adjusted import paths to reflect changes. Major bugs fixed: - None reported this month. Overall impact and accomplishments: - Improved maintainability by centralizing redshift utilities, reducing duplication, and clarifying module boundaries. - Prepared the codebase for upcoming redshift-related features, enabling smoother integration and onboarding. Technologies/skills demonstrated: - Python refactoring and modularization, import path management, and versioning discipline.
January 2025
1 Commits
Jan 1, 2025January 2025 monthly summary for LSSTDESC/CLMM: Focused on stability and compatibility to support reliable downstream integration and smoother release cycles. Delivered a targeted fix to align dependencies and updated versions to prevent regressions.
1 Commits
Jan 1, 2025January 2025 monthly summary for LSSTDESC/CLMM: Focused on stability and compatibility to support reliable downstream integration and smoother release cycles. Delivered a targeted fix to align dependencies and updated versions to prevent regressions.
January 2025
November 2024
1 Commits
Nov 1, 20242024-11 Monthly Summary for LSSTDESC/CLMM. Focused on stabilizing CI workflows and upgrading dependencies to improve build reliability and release readiness.
November 2024
1 Commits
Nov 1, 20242024-11 Monthly Summary for LSSTDESC/CLMM. Focused on stabilizing CI workflows and upgrading dependencies to improve build reliability and release readiness.
Activity
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Quality Metrics
Correctness87.6%
Maintainability85.0%
Architecture75.0%
Performance65.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonYAML
Technical Skills
AstrophysicsAstropyBuild AutomationCI/CDCode RefactoringData AnalysisModule OrganizationNumPyPackage ManagementPythonPython DevelopmentPython PackagingScientific Computing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline