
Developed and delivered GradeSync, an automated data pipeline that synchronizes Gradescope grades to Google Sheets, creating per-assignment sheets and an instructor dashboard to streamline grade management. The solution, implemented in Python and Shell and containerized with Docker, features a cron-based scheduler for periodic, authenticated syncs. Work on the AFA-Tooling/GradeSync repository emphasized robust API integration, enhanced error handling, and backoff-based retry logic to improve reliability and data consistency. Expanded test coverage and local validation were prioritized to reduce regression risk and support maintainability, positioning the system for broader adoption across additional courses and reducing manual data entry for instructors.
November 2024 (2024-11) focused on delivering a robust GradeSync automation and expanding API reliability. Key outcomes include an automated Gradescope-to-Google Sheets pipeline with per-assignment sheets and an instructor dashboard, a Dockerized cron for scheduled sync, and strengthened API resilience with improved error handling, backoff-based retries, and expanded test coverage. These efforts reduced manual data-entry overhead, improved data consistency, and provided better operational visibility for instructors.
November 2024 (2024-11) focused on delivering a robust GradeSync automation and expanding API reliability. Key outcomes include an automated Gradescope-to-Google Sheets pipeline with per-assignment sheets and an instructor dashboard, a Dockerized cron for scheduled sync, and strengthened API resilience with improved error handling, backoff-based retries, and expanded test coverage. These efforts reduced manual data-entry overhead, improved data consistency, and provided better operational visibility for instructors.

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