
Developed and integrated a video watch-position visualization feature for RawkodeAcademy, enhancing learning continuity for authenticated users. Built a reusable VideoProgressBar component using Vue and TypeScript, fetching per-user watch data via GraphQL and rendering progress bars directly on video thumbnails across the video feed, home, and watch pages. The implementation included authentication-aware cache headers to optimize performance and introduced robust error handling to maintain UI stability during API failures. All changes were delivered through collaborative, traceable commits. This work established a scalable foundation for future analytics and recommendation features, demonstrating strong skills in API integration, front end development, and Astro.
January 2026 performance summary for RawkodeAcademy: Delivered authenticated-user video watch-position visualization to enhance learning continuity and engagement. Implemented a reusable VideoProgressBar component and integrated it across the video experience, including the video feed, home, and watch pages. Data is fetched via GraphQL, with per-video progress calculated and rendered on thumbnails. Authentication-aware cache headers were introduced to balance freshness and performance, and graceful error handling for API failures was added to maintain UI stability. This work establishes a scalable path for per-user analytics visualization and sets the stage for future features around retention and recommendations. Key achievements: - Implemented VideoProgressBar.vue and integrated into video feed for authenticated users. - End-to-end data flow: GraphQL watch positions -> watchPositionsMap -> VideoFeed rendering on thumbnails. - Data propagation to Home and Watch pages with auth-aware rendering. - Performance improvements via authentication-sensitive cache headers and robust error handling. - Cross-team collaboration with clear traceability (co-authored commits).
January 2026 performance summary for RawkodeAcademy: Delivered authenticated-user video watch-position visualization to enhance learning continuity and engagement. Implemented a reusable VideoProgressBar component and integrated it across the video experience, including the video feed, home, and watch pages. Data is fetched via GraphQL, with per-video progress calculated and rendered on thumbnails. Authentication-aware cache headers were introduced to balance freshness and performance, and graceful error handling for API failures was added to maintain UI stability. This work establishes a scalable path for per-user analytics visualization and sets the stage for future features around retention and recommendations. Key achievements: - Implemented VideoProgressBar.vue and integrated into video feed for authenticated users. - End-to-end data flow: GraphQL watch positions -> watchPositionsMap -> VideoFeed rendering on thumbnails. - Data propagation to Home and Watch pages with auth-aware rendering. - Performance improvements via authentication-sensitive cache headers and robust error handling. - Cross-team collaboration with clear traceability (co-authored commits).

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