February 2026: Delivered Profile-Based User Authorization for prefeiturasp/SME-NovoSGP, introducing profile selection into access checks so permissions are validated against specific profiles. This enhances security, auditability, and compliance for role-based access control. The work is linked to AB#142599 via commit c1578618cb303d960390e2d6e079cced5f137702. No other features or bug fixes were deployed this month; no major bugs reported. Impact includes reduced risk of unauthorized access, clearer authorization flows, and a foundation for future RBAC enhancements. Technologies/skills demonstrated include profile-based authorization design, secure access control patterns, repository traceability, and disciplined change management.

January 2026 was focused on reliability, performance, and maintainability across SME-NovoSGP and its WebClient. Delivered scalable caching, safer data access, and smarter user filtering, while modernizing the test suite to reflect 2026 requirements. These changes reduce duplicate notifications, improve response times, and lay a strong foundation for future growth.

December 2025: Delivered targeted features and reliability improvements across SME-NovoSGP-WebClient and SME-NovoSGP. Key outcomes include user-facing access controls and queueing improvements, enhanced editor reliability, robust user support data handling, stronger notification hub monitoring, enrollment/grading workflow refinements, expanded user management capabilities, and essential codebase cleanup. These efforts reduce blocking, improve data reliability, and enable scalable administration, delivering measurable business value in security, responsiveness, and maintainability.

November 2025 monthly summary: Focused on delivering core features that improve workflow reliability, data accuracy, and scheduling UX across SME-NovoSGP and SME-NovoSGP-WebClient. Key work includes enhancing class replacement workflow and notification handling, refining Diario Bordo data retrieval to consider excluded classes, and strengthening class scheduling with improved state management and data fetching. These efforts reduce manual rework, improve notification reliability, and support better administrative decisions.