DUNE/waffles
Dec 2025 – Dec 2025
1 Month active
Languages Used
MarkdownPythontext
Technical Skills
data accuracydata analysisdata processingdocumentationfile managementsoftware refactoring
Gabriel Botogoske
PROFILE
Gabriel Botogoske
Worked on the DUNE/waffles repository to deliver a comprehensive overhaul of the Protodune-VD Template System, focusing on data accuracy and maintainability. The project involved designing new templates, normalizing photoelectron (PE) calculations to the first PE, and correcting run-number handling to ensure consistent data indexing. Unused templates were removed to streamline processing and reduce potential errors. Extensive documentation was added in Markdown to clarify template calculations and support onboarding. The work leveraged Python for data processing and template management, emphasizing clear documentation and robust file management practices to improve the system’s usability and long-term maintainability for future contributors.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
49,154
Activity Months1
Your Network
20 peopleShared Repositories
20
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Work History
December 2025
4 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for DUNE/waffles. Delivered a major overhaul of the Protodune-VD Template System, including new templates, corrected run-number handling, removal of unused templates, and comprehensive documentation of template calculations (1PE, 2PE, 3PE) normalized to the first PE. The work is tracked through a focused set of commits and includes documentation enhancements to improve maintainability and onboarding.
4 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for DUNE/waffles. Delivered a major overhaul of the Protodune-VD Template System, including new templates, corrected run-number handling, removal of unused templates, and comprehensive documentation of template calculations (1PE, 2PE, 3PE) normalized to the first PE. The work is tracked through a focused set of commits and includes documentation enhancements to improve maintainability and onboarding.
December 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance95.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
MarkdownPythontext
Technical Skills
data accuracydata analysisdata processingdocumentationfile managementsoftware refactoringtemplate designtemplate management
Repositories Contributed To
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