
Worked on the codecomprehensionai/codecomprehension.nl repository to deliver a foundational data model and a student-facing analytics feature supporting scalable learning experiences. Established a core database schema using PHP and SQL, implementing primary and foreign key constraints and standardizing naming conventions for maintainability. Refactored and consolidated migrations, removing redundant tables and correcting key data types to ensure referential integrity. Developed an Assignment Results page with Blade templating and Livewire, enabling students to view scores, time spent, class rank, and detailed per-question feedback. Prioritized migration hygiene and schema clarity, streamlining onboarding for new engineers and supporting data-driven feedback within the platform.
June 2025: Delivered foundational data model and student-facing analytics to enable scalable learning experiences and clearer performance insights. Refined migration strategy, standardized naming, and consolidated schema to improve maintainability and onboarding. Introduced an on-platform Assignment Results page to support data-driven feedback.
June 2025: Delivered foundational data model and student-facing analytics to enable scalable learning experiences and clearer performance insights. Refined migration strategy, standardized naming, and consolidated schema to improve maintainability and onboarding. Introduced an on-platform Assignment Results page to support data-driven feedback.

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