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Yinghao Wang

PROFILE

Yinghao Wang

Worked on the CombiRWTH/StaffScheduling repository to enhance shift scheduling by implementing robust constraint programming solutions in Python. Developed and optimized algorithms to improve night-shift feasibility, enforce rest requirements, and refine rotation and weekend rest logic, addressing edge cases such as 24-hour no-shift periods after night shifts and preventing late-to-early transitions. Refactored import management and clarified constraint documentation to support maintainability and onboarding. Further refined the scheduling objective by penalizing consecutive workdays and rewarding weekend rest, while simplifying the model by removing over-optimizing constraints. This work resulted in a more reliable, maintainable, and balanced staff scheduling system.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

12Total
Bugs
1
Commits
12
Features
2
Lines of code
617
Activity Months2

Your Network

10 people

Work History

June 2025

2 Commits • 1 Features

Jun 1, 2025

June 2025 monthly summary for CombiRWTH/StaffScheduling: Implemented targeted enhancements to the scheduling objective and fixed edge cases to improve rest/work balance alignment and algorithm simplicity. Key changes include penalizing consecutive work days and rewarding rest days with a weekend emphasis, and removing the 'more_free_days_for_night_worker' constraint to avoid over-optimizing night worker rest days. These changes were implemented via two commits: fix free days near weekends and safe remove more free days for night workers. Result: clearer objective, reduced risk of misallocated night rest, and a more maintainable optimization model.

May 2025

10 Commits • 1 Features

May 1, 2025

May 2025: Focused on delivering robust shift-constraint features for CombiRWTH/StaffScheduling, improving night-shift feasibility, rest requirements, rotation, and weekend rest. This work also included import-path corrections and clearer constraint descriptions for StateManager. Key deliverables included new and refined constraints, stabilization of edge cases (e.g., 24h no-shift after night shift, no late-to-early transitions), and documentation enhancements. Result: more compliant, reliable scheduling, reduced fatigue risk, and better maintainability across the codebase.

Activity

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Quality Metrics

Correctness81.6%
Maintainability86.6%
Architecture80.0%
Performance75.0%
AI Usage21.6%

Skills & Technologies

Programming Languages

Python

Technical Skills

Algorithm DesignAlgorithm DevelopmentAlgorithm OptimizationBackend DevelopmentConstraint ProgrammingImport ManagementPythonSoftware DevelopmentSoftware DocumentationSoftware Refactoring

Repositories Contributed To

1 repo

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

CombiRWTH/StaffScheduling

May 2025 Jun 2025
2 Months active

Languages Used

Python

Technical Skills

Algorithm DesignAlgorithm DevelopmentAlgorithm OptimizationBackend DevelopmentConstraint ProgrammingImport Management