
Over three months, 23020170@vnu.edu.vn developed and enhanced core features for the ISE-UET-AutoML/frontend repository, focusing on user authentication, dataset management, and application generation from machine learning models. They implemented robust API integration and React-based UI components to streamline multi-step workflows, improve error handling, and support file uploads to AWS S3. Their work included refining dataset search, filter, and sort capabilities, as well as introducing end-to-end functionality for generating deployable apps from ML outputs. Using JavaScript, TypeScript, and Ant Design, they delivered well-structured, maintainable code that improved data integrity, user experience, and the reliability of frontend data operations.

January 2026: End-to-end delivery of the Generated Applications from Machine Learning Models feature in ISE-UET-AutoML/frontend, including API endpoints and UI components, enabling users to generate, list, and create apps directly from ML models.
January 2026: End-to-end delivery of the Generated Applications from Machine Learning Models feature in ISE-UET-AutoML/frontend, including API endpoints and UI components, enabling users to generate, list, and create apps directly from ML models.
Month: 2025-09 — Frontend (ISE-UET-AutoML/frontend) delivered a focused Dataset Management Page upgrade, combining enhanced search, filter, and sort with a UI refresh and pagination improvements. This work improves dataset discoverability, reduces time to locate datasets, and strengthens data curation workflows. Notable commits include search, filter/sort enhancements, pagination position fix, and header/spacing refinements.
Month: 2025-09 — Frontend (ISE-UET-AutoML/frontend) delivered a focused Dataset Management Page upgrade, combining enhanced search, filter, and sort with a UI refresh and pagination improvements. This work improves dataset discoverability, reduces time to locate datasets, and strengthens data curation workflows. Notable commits include search, filter/sort enhancements, pagination position fix, and header/spacing refinements.
July 2025 performance summary for frontend delivery focused on user experience, data workflow reliability, and observability. Delivered major enhancements across authentication, data export, labeling workflows, and payload debugging. Improvements reduce login friction, ensure robust API responses, and increase data integrity across S3 exports and CSV metadata handling. Strengthened multi-step dataset/label project creation with better metadata support and naming conventions, plus instrumentation to facilitate troubleshooting of payload flows.
July 2025 performance summary for frontend delivery focused on user experience, data workflow reliability, and observability. Delivered major enhancements across authentication, data export, labeling workflows, and payload debugging. Improvements reduce login friction, ensure robust API responses, and increase data integrity across S3 exports and CSV metadata handling. Strengthened multi-step dataset/label project creation with better metadata support and naming conventions, plus instrumentation to facilitate troubleshooting of payload flows.
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