PowerGridModel/power-grid-model
Oct 2024 – Dec 2024
3 Months active
Languages Used
Jupyter NotebookMarkdownPythonC++
Technical Skills
Code CleanupData AnalysisDocumentationJupyter NotebookJupyter NotebooksPython
Santiago Figueroa Manrique
PROFILE
Santiago Figueroa Manrique
Worked on the PowerGridModel/power-grid-model repository, delivering features and improvements focused on power systems modeling and analysis. Over three months, contributed batch power flow capabilities, enhanced Jupyter Notebook workflows, and improved code quality and maintainability. Applied C++ and Python to implement batch data processing, refactor core utilities, and optimize performance. Addressed code readability and robustness by refining constants, logic, and variable naming, while resolving merge conflicts and test failures to ensure reliability. Emphasized documentation and technical writing to support user onboarding and reproducibility. The work established a more modular, maintainable codebase, enabling scalable analysis and smoother future development.
Overall Statistics
Feature vs Bugs
58%Features
Repository Contributions
57Total
Bugs
8
Commits
57
Features
11
Lines of code
3,962
Activity Months3
Your Network
54 peopleWork History
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary focusing on Power Grid Model work in PowerGridModel/power-grid-model. This period centered on code quality and readability enhancements to the power grid model, setting a more robust foundation for future features and easier maintenance.
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary focusing on Power Grid Model work in PowerGridModel/power-grid-model. This period centered on code quality and readability enhancements to the power grid model, setting a more robust foundation for future features and easier maintenance.
December 2024
November 2024
50 Commits • 9 Features
Nov 1, 2024Nov 2024 performance summary for PowerGridModel/power-grid-model: Delivered batch power flow capability for batch size 1; established batch test infrastructure and resolved multiple test failures; reintroduced and exemplified optional ID support; introduced core model utilities; completed a broad component independence validation and refactor to improve modularity and maintainability. Also addressed code quality, build/test compatibility, and cleanup efforts, demonstrating strong cross-functional collaboration and business value by enabling scalable batch processing and more reliable, maintainable codebase.
November 2024
50 Commits • 9 Features
Nov 1, 2024Nov 2024 performance summary for PowerGridModel/power-grid-model: Delivered batch power flow capability for batch size 1; established batch test infrastructure and resolved multiple test failures; reintroduced and exemplified optional ID support; introduced core model utilities; completed a broad component independence validation and refactor to improve modularity and maintainability. Also addressed code quality, build/test compatibility, and cleanup efforts, demonstrating strong cross-functional collaboration and business value by enabling scalable batch processing and more reliable, maintainable codebase.
October 2024
4 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — PowerGridModel/power-grid-model focused on enhancing user-facing notebook workflows, clarifying documentation, and tightening notebook configuration to boost reproducibility and ease of use. Delivered a focused set of notebook enhancements, updated guidance for columnar updates, and completed cleanup to improve stability and readability. No major bugs fixed this period; routine cleanup and comment resolution improved maintainability and readiness for broader adoption.
4 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — PowerGridModel/power-grid-model focused on enhancing user-facing notebook workflows, clarifying documentation, and tightening notebook configuration to boost reproducibility and ease of use. Delivered a focused set of notebook enhancements, updated guidance for columnar updates, and completed cleanup to improve stability and readability. No major bugs fixed this period; routine cleanup and comment resolution improved maintainability and readiness for broader adoption.
October 2024
Activity
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Quality Metrics
Correctness87.2%
Maintainability88.4%
Architecture82.4%
Performance78.0%
AI Usage21.0%
Skills & Technologies
Programming Languages
C++Jupyter NotebookMarkdownPython
Technical Skills
Backend DevelopmentC++C++ DevelopmentCode CleanupCode ExamplesCode MaintainabilityCode MaintenanceCode OptimizationCode OrganizationCode ReadabilityCode RefactoringCompiler CompatibilityData AnalysisData ModelingData Validation
Repositories Contributed To
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