
Gustavo Maia developed interactive lecture features for the SnowWhiteEPFL/edweiss repository, focusing on a responsive PDF viewer and a robust Q&A system for students. He implemented orientation-aware UI in React Native, enabling seamless PDF navigation across devices, and designed backend data models in TypeScript and Firebase to support real-time question submission, upvoting, and anonymity. His work included refactoring UI components, stabilizing test coverage with Jest, and integrating CI tools like SonarCloud to maintain code quality. By addressing both frontend usability and backend reliability, Gustavo delivered maintainable, user-centric features that improved student engagement and ensured consistent, high-quality releases throughout the project.

December 2024 — SnowWhiteEPFL/edweiss: Delivered key feature enhancements to the Lecture Q&A system, stabilized the Lecture Viewer post-merge, corrected data and tests, and improved code quality. The work focused on delivering business value: higher student engagement through interactive Q&A, reliable lecture rendering, accurate scheduling data for planning, and a cleaner, maintainable codebase. Highlights include implementing upvoting, anonymity options, and improved UI for StudentQuestion with sorting by likes; restoring PDF rendering and color-scheme integrity in the Lecture Viewer; and aligning tests and hardcoded data with current functionality. Accomplishments span frontend UX, data layer reliability, and CI/test discipline, reducing risk and technical debt.
December 2024 — SnowWhiteEPFL/edweiss: Delivered key feature enhancements to the Lecture Q&A system, stabilized the Lecture Viewer post-merge, corrected data and tests, and improved code quality. The work focused on delivering business value: higher student engagement through interactive Q&A, reliable lecture rendering, accurate scheduling data for planning, and a cleaner, maintainable codebase. Highlights include implementing upvoting, anonymity options, and improved UI for StudentQuestion with sorting by likes; restoring PDF rendering and color-scheme integrity in the Lecture Viewer; and aligning tests and hardcoded data with current functionality. Accomplishments span frontend UX, data layer reliability, and CI/test discipline, reducing risk and technical debt.
November 2024 delivered a combination of CI quality improvements, feature scaffolding for Q&A in lectures, and a broad set of UI/UX stability and refactor efforts that improve release readiness and maintainability. The work emphasizes business value through higher code quality, reduced PR friction, and groundwork for user-centric features.
November 2024 delivered a combination of CI quality improvements, feature scaffolding for Q&A in lectures, and a broad set of UI/UX stability and refactor efforts that improve release readiness and maintainability. The work emphasizes business value through higher code quality, reduced PR friction, and groundwork for user-centric features.
October 2024 deliverables for SnowWhiteEPFL/edweiss focused on enhancing the Lecture Screen with orientation-aware PDF viewing, fullscreen improvements, and early Q&A capabilities. This work improves cross-device usability for lectures, enabling students to view PDFs in both landscape and portrait modes, navigate pages smoothly, and capture/display questions. No major user-facing bug fixes were required this month; however, tests were refactored and coverage reached ~72% as groundwork for future reliability. Commits established the orientation-change foundation and set up parallel work streams.
October 2024 deliverables for SnowWhiteEPFL/edweiss focused on enhancing the Lecture Screen with orientation-aware PDF viewing, fullscreen improvements, and early Q&A capabilities. This work improves cross-device usability for lectures, enabling students to view PDFs in both landscape and portrait modes, navigate pages smoothly, and capture/display questions. No major user-facing bug fixes were required this month; however, tests were refactored and coverage reached ~72% as groundwork for future reliability. Commits established the orientation-change foundation and set up parallel work streams.
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