
Worked on the NIAEFEUP/uni repository to enhance the Schedule Page by implementing an auto-navigation feature that directs users to the next upcoming lecture day within the current week, using Dart and Flutter for mobile frontend development. The approach involved iterating through lecture data, applying state management to track lecturesThisWeek, and animating the tab controller for improved user experience. Refactored state handling with a functional fold to ensure robust next-lecture computation and prevent premature data clearing, increasing reliability. Additionally, performed targeted code cleanup by removing unused imports, supporting maintainability and code hygiene without altering user-facing features or application behavior.
December 2024 — NIAEFEUP/uni: Focused on targeted code quality improvement by removing an unused import in schedule.dart. This cleanup reduces dead code, clarifies the code path, and supports future refactors without changing behavior or user-facing features. The change is lightweight but aligns with the team’s code hygiene and maintainability goals, enabling smoother onboarding and fewer distractions during reviews.
December 2024 — NIAEFEUP/uni: Focused on targeted code quality improvement by removing an unused import in schedule.dart. This cleanup reduces dead code, clarifies the code path, and supports future refactors without changing behavior or user-facing features. The change is lightweight but aligns with the team’s code hygiene and maintainability goals, enabling smoother onboarding and fewer distractions during reviews.
November 2024 monthly summary for NIAEFEUP/uni: Focused on stabilizing and enhancing the Schedule Page by introducing explicit state management for lecturesThisWeek and robust next-lecture computation using a functional fold, while cleaning up code to prevent data loss and improve production safety. This work reduces data loss risk, improves reliability of scheduling flows, and lays groundwork for future enhancements.
November 2024 monthly summary for NIAEFEUP/uni: Focused on stabilizing and enhancing the Schedule Page by introducing explicit state management for lecturesThisWeek and robust next-lecture computation using a functional fold, while cleaning up code to prevent data loss and improve production safety. This work reduces data loss risk, improves reliability of scheduling flows, and lays groundwork for future enhancements.
Month: 2024-10 monthly summary for NIAEFEUP/uni. Key feature delivered: Schedule Page auto-navigate to the next upcoming lecture day within the current week. Implementation initializes the schedule tab to the weekday of the next upcoming lecture by iterating through lectures and selecting the closest end time after the current time; includes an animation of the tab controller to that weekday to display the relevant upcoming schedule information. Major bugs fixed: none reported this month. Overall impact: enhances user experience by presenting the most relevant schedule information automatically, reducing manual navigation and improving time-to-information for students. Demonstrates frontend navigation logic, date/lecture iteration algorithm, and UI animation skills; aligns with business goal to surface timely scheduling data. Commit reference: 8a2ca5aa540ee556a4d2807053eb87b61eab1eff in NIAEFEUP/uni.
Month: 2024-10 monthly summary for NIAEFEUP/uni. Key feature delivered: Schedule Page auto-navigate to the next upcoming lecture day within the current week. Implementation initializes the schedule tab to the weekday of the next upcoming lecture by iterating through lectures and selecting the closest end time after the current time; includes an animation of the tab controller to that weekday to display the relevant upcoming schedule information. Major bugs fixed: none reported this month. Overall impact: enhances user experience by presenting the most relevant schedule information automatically, reducing manual navigation and improving time-to-information for students. Demonstrates frontend navigation logic, date/lecture iteration algorithm, and UI animation skills; aligns with business goal to surface timely scheduling data. Commit reference: 8a2ca5aa540ee556a4d2807053eb87b61eab1eff in NIAEFEUP/uni.

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