
Worked on the navgurukul/zuvy-server repository to refactor the assessment submissions flow, introducing a new endpoint for refreshing assessment scores with a focus on data integrity and robust error handling. The approach separated data fetching from result calculation, improving maintainability and testability of the backend logic. Deprecated endpoints and dead code were removed to streamline the codebase, while a raw query endpoint was added to support diagnostics and auditing needs. Leveraged TypeScript and SQL for backend development, API design, and database management, consolidating changes to reduce maintenance overhead and enable easier testing and future feature iterations within the project.
July 2025 monthly summary for navgurukul/zuvy-server: Delivered a refactor of the assessment submissions flow and introduced score refresh capabilities with an emphasis on data integrity, error handling, and maintainability. Performed code cleanup by removing deprecated endpoints and dead code, and introduced a raw query pathway for diagnostics and auditing.
July 2025 monthly summary for navgurukul/zuvy-server: Delivered a refactor of the assessment submissions flow and introduced score refresh capabilities with an emphasis on data integrity, error handling, and maintainability. Performed code cleanup by removing deprecated endpoints and dead code, and introduced a raw query pathway for diagnostics and auditing.

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