znasipak/FastEMRIWaveforms-Soton-Hackathon-2025
Jan 2025 – Jan 2025
1 Month active
Languages Used
C++CythonHTMLPythonShellreStructuredText
Technical Skills
Build ProcessBuild System ConfigurationC++CythonDependency ManagementDocumentation
mikekatz04
PROFILE
Mikekatz04
Worked on the FastEMRIWaveforms-Soton-Hackathon-2025 repository to streamline installation and enhance cross-architecture compatibility. Focused on building a cloud-friendly installation process, the developer refactored Cython module paths, updated dependencies, and introduced a universal install script to eliminate architecture-specific logic. Using Python, C++, and shell scripting, they established a scalable project structure by scaffolding the cutils package with placeholder files, setting the stage for future development. These efforts reduced onboarding friction across diverse environments, improved maintainability, and standardized the build process, ensuring that the project is easier to adopt and extend for both local and cloud-based workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
500
Activity Months1
Your Network
1 personShared Repositories
1
Work History
January 2025
3 Commits • 3 Features
Jan 1, 2025January 2025 monthly summary for znasipak/FastEMRIWaveforms-Soton-Hackathon-2025. Focused on improving installation experience, cross-architecture compatibility, and establishing a scalable project structure to accelerate adoption and future development. Implemented cloud-friendly installation, universal install script, and scaffolding for the cutils package, laying groundwork for maintainability and future features.
3 Commits • 3 Features
Jan 1, 2025January 2025 monthly summary for znasipak/FastEMRIWaveforms-Soton-Hackathon-2025. Focused on improving installation experience, cross-architecture compatibility, and establishing a scalable project structure to accelerate adoption and future development. Implemented cloud-friendly installation, universal install script, and scaffolding for the cutils package, laying groundwork for maintainability and future features.
January 2025
Activity
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Quality Metrics
Correctness53.4%
Maintainability60.0%
Architecture53.4%
Performance46.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CythonHTMLPythonShellreStructuredText
Technical Skills
Build ProcessBuild System ConfigurationC++CythonDependency ManagementDocumentationFile ManagementPythonShell Scripting
Repositories Contributed To
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