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
Gabriel Botogoske overhauled the Protodune-VD Template System in the DUNE/waffles repository, focusing on improving data processing accuracy and maintainability. He introduced new Markdown-based templates, normalized photoelectron (PE) calculations to the first PE, and corrected run-number handling to ensure consistent data indexing across experimental runs. Gabriel removed unused templates to streamline the suite and reduce potential processing errors, while also enhancing documentation with a comprehensive README to support onboarding and future development. His work demonstrated depth in data analysis, template management, and software refactoring, resulting in a more robust and maintainable template system for ongoing scientific workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
49,154
Activity Months1
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20 peopleShared Repositories
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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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