Month 2025-10 Summary: Delivered end-to-end donor surplus posts management, including backend endpoint and frontend UI with strict data isolation. Strengthened authentication and data privacy through extensive testing, covering login, access control, and retrieval of a donor's own posts. No production bugs closed this month; the focus was on delivering business value and reducing privacy risk through test-driven improvements. Impact: improved donor experience and engagement by enabling secure self-management of surplus posts, enhanced reliability of auth flows, and stronger privacy guarantees. Technologies/skills demonstrated include Java/Spring REST API design, React frontend integration, comprehensive unit/integration testing (JUnit), data isolation practices, and test-driven development across backend and frontend layers.

September 2025 monthly performance focused on delivering secure authentication capabilities and stabilizing the CI/CD pipeline to enable safer releases and faster iteration. Delivered a JWT-based user authentication flow with a testable interface, added unit tests for login, and rolled back problematic CI/CD changes to restore a stable deployment environment. This work strengthens security, test coverage, and continuous delivery reliability, contributing to safer go-to-market releases and clearer developer workflows.

Monthly performance summary for 2025-04 focused on MiniCapstone-Project/SOEN390. Delivered comprehensive indoor navigation capabilities across MB and H buildings, improved routing reliability with targeted bug fixes, and strengthened testing and code quality through refactors and infrastructure hygiene. Highlights include full multi-floor indoor navigation support, a refactored IndoorDirService with reverse GIS lookup and centralized type definitions, and a robust Dijkstra bug fix with test reliability improvements.

Monthly Summary for 2025-03: Focused on delivering core backend support for multi-floor room-to-room navigation and establishing the foundation for floor-to-floor routing. Implemented a hallway-based graph and integrated Dijkstra's algorithm to compute shortest-path routes, enabling room-to-room navigation across floors and preparing for future floor transitions. Updated data models and hallway file formats to support hallway-based pathfinding (Hall 8 and Hall 9) and added groundwork for cross-floor routing. Progress and status: While the core pathfinding backend is in place, there is an outstanding issue where Dijkstra currently exposes all explored paths instead of only the shortest path to the end node. This will be addressed in upcoming work. No other major bugs fixed this month; the focus was on backend integration and data formatting to enable scalable navigation. Impact: This work lays the technical foundation for reliable, scalable indoor navigation across multiple floors, enabling higher value routing features for end users and future business capabilities such as floor-aware navigation and analytics. Technologies/skills demonstrated: Graph-based pathfinding design (hallway graph), backend integration with Dijkstra's algorithm, cross-floor routing groundwork, hallway data processing, and data format standardization across hall files (Hall 8/9).