ISE-UET-AutoML/frontend
Jul 2025 – Sep 2025
3 Months active
Languages Used
JSXJavaScriptReactCSSHTML
Technical Skills
API IntegrationAnt DesignAuthenticationFront-end DevelopmentFrontend DevelopmentJavaScript
Ngtvu278
PROFILE
Ngtvu278
Over three months, this developer enhanced the ISE-UET-AutoML/frontend repository by building robust end-to-end data labeling workflows and improving dataset management. They integrated Label Studio with secure authentication, enabling seamless login and direct navigation, and expanded support for multimodal datasets, semantic segmentation, and tabular regression tasks. Using React and JavaScript, they implemented advanced UI/UX features such as dataset browsing with pagination, progress indicators, and color pickers, while also addressing error handling and cookie management. Their work included API integration for dataset lifecycle operations and export to S3, resulting in a more reliable, scalable, and user-friendly labeling and training platform.
Overall Statistics
Feature vs Bugs
59%Features
Repository Contributions
41Total
Bugs
11
Commits
41
Features
16
Lines of code
3,266
Activity Months3
Your Network
15 people
Work History
September 2025
21 Commits • 8 Features
Sep 1, 2025September 2025 highlights focusing on delivering end-to-end ML labeling workflows, stabilizing the platform, and enhancing dataset management. Key features delivered include Time Series Task UI in modal and frontend, multilabel task capabilities (tabular and text variants) with corresponding UI changes, and dataset visualization improvements. Dataset API and lifecycle enhancements were implemented (initialize/finalize endpoints, dataset_id linkage, and advanced filtering). Major bugs fixed to improve reliability and UX include ECONNRESET between backend and DTS, access-token expiry handling and IMG_CLASSIFI label display, UI dataset display bug, corrected userId retrieval, misspelling fixes, an unintended revert, and a dataset-filter-none fix.
21 Commits • 8 Features
Sep 1, 2025September 2025 highlights focusing on delivering end-to-end ML labeling workflows, stabilizing the platform, and enhancing dataset management. Key features delivered include Time Series Task UI in modal and frontend, multilabel task capabilities (tabular and text variants) with corresponding UI changes, and dataset visualization improvements. Dataset API and lifecycle enhancements were implemented (initialize/finalize endpoints, dataset_id linkage, and advanced filtering). Major bugs fixed to improve reliability and UX include ECONNRESET between backend and DTS, access-token expiry handling and IMG_CLASSIFI label display, UI dataset display bug, corrected userId retrieval, misspelling fixes, an unintended revert, and a dataset-filter-none fix.
September 2025
August 2025
8 Commits • 4 Features
Aug 1, 2025Aug 2025 (ISE-UET-AutoML/frontend): Delivered frontend enhancements expanding labeling capabilities and improving data integrity. Implemented Semantic Segmentation UI with color picker, added Multimodal Dataset image column selection and validation, introduced Tabular Regression task type with dataset mapping and build config, and enhanced Dataset Creation/Metadata handling for XML/CSV metadata and optimized polling. Fixed critical login/logout and metadata key issues, and centralized Label Studio integration URL for reliability. Result: accelerated labeling workflows, broadened supported tasks, improved data quality, and strengthened security and integration reliability.
August 2025
8 Commits • 4 Features
Aug 1, 2025Aug 2025 (ISE-UET-AutoML/frontend): Delivered frontend enhancements expanding labeling capabilities and improving data integrity. Implemented Semantic Segmentation UI with color picker, added Multimodal Dataset image column selection and validation, introduced Tabular Regression task type with dataset mapping and build config, and enhanced Dataset Creation/Metadata handling for XML/CSV metadata and optimized polling. Fixed critical login/logout and metadata key issues, and centralized Label Studio integration URL for reliability. Result: accelerated labeling workflows, broadened supported tasks, improved data quality, and strengthened security and integration reliability.
July 2025
12 Commits • 4 Features
Jul 1, 2025July 2025 (ISE-UET-AutoML/frontend) focused on end-to-end Label Studio integration with robust authentication, expansion of data modalities, streamlined labeling-to-training workflows, and UI/UX improvements for dataset management. Delivered fixes to authentication flows, enabling reliable access to Label Studio, and laid groundwork for scalable labeling pipelines and ML training automation.
12 Commits • 4 Features
Jul 1, 2025July 2025 (ISE-UET-AutoML/frontend) focused on end-to-end Label Studio integration with robust authentication, expansion of data modalities, streamlined labeling-to-training workflows, and UI/UX improvements for dataset management. Delivered fixes to authentication flows, enabling reliable access to Label Studio, and laid groundwork for scalable labeling pipelines and ML training automation.
July 2025
Activity
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Quality Metrics
Correctness85.6%
Maintainability84.4%
Architecture80.0%
Performance78.2%
AI Usage22.6%
Skills & Technologies
Programming Languages
CSSHTMLJSXJavaScriptReact
Technical Skills
API IntegrationAnt DesignAsynchronous ProgrammingAuthenticationCookie ManagementData ValidationError HandlingFile HandlingForm HandlingFront End DevelopmentFront-end DevelopmentFrontend DevelopmentJavaScriptReactState Management
Repositories Contributed To
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