Engineered a university course scheduling system that automates a complex, constraint-heavy process. I designed and developed the full solution using ASP.NET Razor Pages and MSSQL, with a core focus on backend optimization.

Key Contributions:

Architected an optimized database schema and wrote complex stored procedures to manage hundreds of courses, faculty, rooms, and student constraints efficiently.

Implemented a genetic algorithm to automatically generate conflict-free schedules, replacing manual planning and significantly improving speed and accuracy.

Built a responsive frontend with jQuery to provide an intuitive interface for administrators to configure constraints and review optimized timetables.