
Developed core backend features for the Examguide repository, focusing on scalable task and resource management for enterprise use. Delivered advanced task management for admins, enabling robust filtering, pagination, and bulk creation of tasks to streamline workflows. Built a comprehensive resource management system with Cloudinary and GridFS integration, supporting full asset lifecycle, metadata, ratings, and thumbnail generation. Enhanced user profiles by adding nested social data and new update endpoints, improving data structure and accessibility. Leveraged Node.js, MongoDB, and Express.js to implement RESTful APIs, schema evolution, and bulk operations, addressing reliability and data integrity in task retrieval, storage, and profile updates.
January 2026: Delivered major backend capabilities for Examguide, including Advanced Task Management for Admins, a full Resource Management System with Cloudinary/GridFS storage and thumbnails, and expanded User Profile enhancements. Implemented robust retrieval/filtering/pagination for tasks, bulk task creation with improved user filtering, end-to-end resource lifecycle with metadata/ratings, library associations, and API routes backed by Cloudinary/GridFS storage, and nested social data in user profiles. Fixed critical issues in task retrieval, storage integration, and profile updates to improve reliability. These efforts increased admin efficiency, asset visibility and lifecycle management, and data integrity, enabling scalable enterprise usage. Technologies used include Node.js, MongoDB/GridFS, Cloudinary, REST APIs, schema evolution, and bulk operations.
January 2026: Delivered major backend capabilities for Examguide, including Advanced Task Management for Admins, a full Resource Management System with Cloudinary/GridFS storage and thumbnails, and expanded User Profile enhancements. Implemented robust retrieval/filtering/pagination for tasks, bulk task creation with improved user filtering, end-to-end resource lifecycle with metadata/ratings, library associations, and API routes backed by Cloudinary/GridFS storage, and nested social data in user profiles. Fixed critical issues in task retrieval, storage integration, and profile updates to improve reliability. These efforts increased admin efficiency, asset visibility and lifecycle management, and data integrity, enabling scalable enterprise usage. Technologies used include Node.js, MongoDB/GridFS, Cloudinary, REST APIs, schema evolution, and bulk operations.

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