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Håvard Homleid Haugen

PROFILE

Håvard Homleid Haugen

Worked on tri-icosahedron graph generation within the ecmwf/anemoi-core repository, focusing on improving both performance and maintainability. Applied algorithm implementation and code refactoring skills to optimize edge-building logic, resulting in faster and more reliable graph construction. Addressed issues with self-loop handling to ensure correct graph topology, while standardizing naming conventions across the module for consistency. Enhanced documentation by updating docstrings and refreshing the changelog to clearly communicate changes and bug fixes. Utilized Python and NetworkX to implement these improvements, with careful attention to code quality through spelling corrections and well-organized commits, supporting ongoing maintainability and clarity for future development.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

5Total
Bugs
0
Commits
5
Features
1
Lines of code
102
Activity Months1

Work History

December 2024

5 Commits • 1 Features

Dec 1, 2024

In December 2024, focused on Tri-icosahedron graph generation in ecmwf/anemoi-core, delivering performance, reliability, and maintainability improvements. Major work centered on optimizing edge-building, standardizing naming, improving documentation, and fixing self-loop handling bugs. Changes are well-documented in the changelog and accompanied by code quality improvements (docstrings, spell corrections).

Activity

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Quality Metrics

Correctness92.0%
Maintainability96.0%
Architecture96.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

MarkdownPython

Technical Skills

Algorithm ImplementationCode RefactoringDocumentationGraph AlgorithmsGraph TheoryNetworkXOptimizationPython

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

ecmwf/anemoi-core

Dec 2024 Dec 2024
1 Month active

Languages Used

MarkdownPython

Technical Skills

Algorithm ImplementationCode RefactoringDocumentationGraph AlgorithmsGraph TheoryNetworkX