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Dr-Heimerdinger

PROFILE

Dr-heimerdinger

Tuan Anh contributed to the ISE-UET-AutoML/frontend repository by building and refining complex data labeling, dataset management, and model training workflows. He integrated features such as Label Studio-based annotation, object detection with canvas drawing, and secure dataset uploads using AWS S3 pre-signed URLs. His work included UI/UX enhancements, robust authentication with secure cookies, and real-time prediction interfaces, all implemented with React, JavaScript, and Ant Design. By focusing on component-based architecture and state management, Tuan Anh improved workflow efficiency, data integrity, and deployment stability, demonstrating depth in frontend engineering and delivering production-ready solutions for machine learning data operations.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

69Total
Bugs
8
Commits
69
Features
33
Lines of code
61,352
Activity Months5

Work History

July 2025

23 Commits • 14 Features

Jul 1, 2025

Concise monthly summary for 2025-07 highlighting delivered features, major bug fixes, impact, and technical accomplishments across the ISE-UET-AutoML/frontend repo. Emphasis on business value, end-user improvements, and engineering excellence.

June 2025

3 Commits • 3 Features

Jun 1, 2025

June 2025 monthly summary for ISE-UET-AutoML/frontend: Delivered major front-end enhancements to labeling and dataset ingestion, improving workflow efficiency, data integrity, and deployment stability.

April 2025

2 Commits • 1 Features

Apr 1, 2025

April 2025 (ISE-UET-AutoML/frontend): Delivered a data labeling capability by integrating Label Studio and hardened authentication cookie security, enhancing both data preparation workflows and security posture in the frontend. The work enables in-app labeling, safer session handling, and aligns with best practices for credential protection.

March 2025

18 Commits • 5 Features

Mar 1, 2025

Summary for 2025-03: Delivered a cohesive UI overhaul and data-management enhancements across the ISE-UET-AutoML/frontend, enabling faster project setup, clearer training results, and more reliable deployment workflows. Implemented real-time prediction capabilities, expanded multi-label data handling, and improved navigation and data analysis UX. Strengthened reliability through robust error handling and observability, delivering tangible business value with faster model iteration, improved data governance, and clearer feedback for users.

February 2025

23 Commits • 10 Features

Feb 1, 2025

February 2025 frontend delivery accelerated model training workflows and dataset management for ISE-UET-AutoML/frontend. Key UI/features and backend readiness matured multimodal pipelines, introduced background training jobs, and tidied release readiness through branch synchronization and UI refinements.

Activity

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Quality Metrics

Correctness85.0%
Maintainability81.4%
Architecture81.0%
Performance77.2%
AI Usage23.4%

Skills & Technologies

Programming Languages

CSSHTMLJSONJSXJavaScriptReact

Technical Skills

API IntegrationAWS S3Ant DesignAuthenticationCanvas APICloud Storage IntegrationCode CleanupComponent DevelopmentComponent ManagementComponent RefactoringComponent-Based ArchitectureCookie ManagementData FilteringData Grid ComponentData Handling

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

ISE-UET-AutoML/frontend

Feb 2025 Jul 2025
5 Months active

Languages Used

CSSHTMLJSXJavaScriptReactJSON

Technical Skills

API IntegrationAnt DesignComponent ManagementComponent RefactoringComponent-Based ArchitectureData Table Management

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