ArianitHalimi/AIN_25
May 2025 – May 2025
1 Month active
Languages Used
Python
Technical Skills
Algorithm DevelopmentAlgorithm OptimizationData ProcessingFile I/OProblem SolvingPython Scripting
Lirim Islami
PROFILE
Lirim Islami
Developed an advanced solver scoring framework for the ArianitHalimi/AIN_25 repository, focusing on scalable experimentation and accurate upper-bound estimation across datasets. The work introduced three new scoring algorithms—time-aware, greedy, and library-only—implemented in Python, with an emphasis on algorithm development and optimization. Enhanced the application’s data processing capabilities by enabling batch evaluation of multiple input instances from a directory, streamlining the comparison of scoring strategies. The solution leveraged robust file I/O and problem-solving skills to support rapid benchmarking and data-driven decision making, establishing a foundation for efficient solver configuration and broader experimentation with algorithmic approaches.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
161
Activity Months1
Your Network
16 peopleShared Repositories
16
Arbnor PukaMember
Arianit HalimiMember
ArtanVrajolliMember
Bleron MorinaMember
Driton AlijaMember
EdiMorinaMember
enis-halilajMember
erblinaberishaMember
ernahulajMember
Work History
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary for AIN_25 (ArianitHalimi/AIN_25): Implemented Advanced Solver Scoring with multi-instance evaluation and upper bound refinement, enabling scalable experimentation across datasets and more accurate upper-bound estimates. Delivered three new scoring algorithms (time_aware_score, greedy_score, library_only_score) and extended the application to process multiple input instances from a directory, with app.py __main__ wired to iterate over .txt/.in instances. This work establishes a solid foundation for rapid benchmarking of scoring strategies and data-driven decision making in solver configuration.
2 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary for AIN_25 (ArianitHalimi/AIN_25): Implemented Advanced Solver Scoring with multi-instance evaluation and upper bound refinement, enabling scalable experimentation across datasets and more accurate upper-bound estimates. Delivered three new scoring algorithms (time_aware_score, greedy_score, library_only_score) and extended the application to process multiple input instances from a directory, with app.py __main__ wired to iterate over .txt/.in instances. This work establishes a solid foundation for rapid benchmarking of scoring strategies and data-driven decision making in solver configuration.
May 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm DevelopmentAlgorithm OptimizationData ProcessingFile I/OProblem SolvingPython Scripting
Repositories Contributed To
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