ArianitHalimi/AIN_25
Apr 2025 – Apr 2025
1 Month active
Languages Used
Python
Technical Skills
Algorithm ImplementationAlgorithm OptimizationData ProcessingFile HandlingHeuristicsLocal Search
Arbnor Puka
PROFILE
Arbnor Puka
Developed enhancements for the AIN_25 repository, focusing on strengthening the operator pipeline and expanding data handling to support multi-file inputs. Refactored the operator module to improve architecture and user experience, including clearer data loading and contextual feedback during operator creation. Advanced optimization strategies by integrating and refining hill climbing and Guided Local Search algorithms, enabling more robust solution exploration and stagnation handling. Leveraged Python for algorithm implementation, data processing, and file handling, resulting in scalable multi-file reporting and analysis. The work emphasized modular software development and optimization techniques, delivering improved reporting capabilities and a more flexible, maintainable codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
706
Activity Months1
Your Network
16 peopleShared Repositories
16
Arianit HalimiMember
ArtanVrajolliMember
Bleron MorinaMember
Driton AlijaMember
EdiMorinaMember
enis-halilajMember
erblinaberishaMember
ernahulajMember
Lirim IslamiMember
Work History
April 2025
5 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for AIN_25 (ArianitHalimi/AIN_25). Focused on strengthening the operator pipeline, expanding data handling for multi-file inputs, and advancing optimization strategies to improve solution quality and reporting. Highlights include operator module refactor and data loading improvements, hill climbing enhancements with multi-file report support, and Guided Local Search (GLS) integration with better exploration and stagnation handling.
5 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for AIN_25 (ArianitHalimi/AIN_25). Focused on strengthening the operator pipeline, expanding data handling for multi-file inputs, and advancing optimization strategies to improve solution quality and reporting. Highlights include operator module refactor and data loading improvements, hill climbing enhancements with multi-file report support, and Guided Local Search (GLS) integration with better exploration and stagnation handling.
April 2025
Activity
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Quality Metrics
Correctness82.0%
Maintainability80.0%
Architecture80.0%
Performance68.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm ImplementationAlgorithm OptimizationData ProcessingFile HandlingHeuristicsLocal SearchOptimizationOptimization AlgorithmsPythonPython DevelopmentPython ScriptingSoftware Development
Repositories Contributed To
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