
Over two months, [Name] developed and enhanced attendance features for the KMUTT-CampusLink platform, focusing on both the campus-server and campus-client repositories. They engineered QR code and face recognition attendance workflows, integrating biometric verification using Node.js, React, and Prisma ORM. Their work included building secure API endpoints, implementing JWT-based authentication, and refactoring backend logic for robust access control and data integrity. By introducing dynamic, database-driven face data retrieval and standardizing professor verification, [Name] improved both accuracy and security. The solutions addressed real-world campus needs, demonstrating depth in full stack development, API security, and seamless integration of computer vision technologies.

December 2024: Implemented end-to-end face-recognition attendance enhancements across server and client. Delivered a new server endpoint to fetch student face data for a given section with empId-based professor verification, and enabled dynamic, database-backed reference faces on the client to improve attendance accuracy and performance. These changes enable scalable, automated attendance workflows while maintaining secure dual-identification checks.
December 2024: Implemented end-to-end face-recognition attendance enhancements across server and client. Delivered a new server endpoint to fetch student face data for a given section with empId-based professor verification, and enabled dynamic, database-backed reference faces on the client to improve attendance accuracy and performance. These changes enable scalable, automated attendance workflows while maintaining secure dual-identification checks.
November 2024 performance summary for KMUTT-CampusLink: Delivered critical attendance enhancements across server and client, improved data integrity and UX, and strengthened security and modular capabilities. Notable work includes robust QR code attendance support, structured API responses for frontend clarity, introduction of biometric attendance via facial recognition (with temporary disablement for stability), and comprehensive security and access controls that enable scalable campus operations.
November 2024 performance summary for KMUTT-CampusLink: Delivered critical attendance enhancements across server and client, improved data integrity and UX, and strengthened security and modular capabilities. Notable work includes robust QR code attendance support, structured API responses for frontend clarity, introduction of biometric attendance via facial recognition (with temporary disablement for stability), and comprehensive security and access controls that enable scalable campus operations.
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