ISE-UET-AutoML/frontend
Aug 2025 – Oct 2025
3 Months active
Languages Used
CSSDockerfileHTMLJavaScriptJSXReactSVG
Technical Skills
DockerFrontend DevelopmentNext.jsNginxReactTailwind CSS
Duc Luu Le
PROFILE
Duc Luu Le
Worked on the ISE-UET-AutoML/frontend repository, delivering a comprehensive overhaul of the AutoML platform’s user interface and onboarding flows. Over three months, implemented new landing, login, and registration pages, redesigned project and dataset management views, and introduced light and dark theme support using React, Tailwind CSS, and Ant Design. Enhanced frontend stability by resolving merge conflicts, refining build processes, and updating Axios configuration for future API changes. Improved Markdown rendering reliability and ensured consistent theming through CSS variables. The work balanced experimentation with production stability, emphasizing maintainable component architecture, responsive design, and data-driven UX improvements across the application.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
32Total
Bugs
11
Commits
32
Features
19
Lines of code
84,070
Activity Months3
Your Network
12 peopleShared Repositories
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Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025Frontend-focused month (2025-10) for ISE-UET-AutoML/frontend delivering two precise changes with clear business impact: improved Markdown rendering reliability and consistent landing page theming. These changes enhance user experience, reduce build issues, and improve maintainability.
2 Commits • 1 Features
Oct 1, 2025Frontend-focused month (2025-10) for ISE-UET-AutoML/frontend delivering two precise changes with clear business impact: improved Markdown rendering reliability and consistent landing page theming. These changes enhance user experience, reduce build issues, and improve maintainability.
October 2025
September 2025
28 Commits • 17 Features
Sep 1, 2025September 2025: Frontend focused milestone with a comprehensive UI overhaul, auth/UI enhancements, and stability hardening across ISE-UET-AutoML/frontend. Delivered new landing and login/register UIs, redesigned Projects/Datasets and Project View, added a new Select Instance view, and improved build/workflow flows. Implemented light theme support and data-type icons, refined paging for datasets and projects, and modernized the user experience for faster onboarding. Resolved multiple merge conflicts and errors to stabilize the codebase, and updated the Axios configuration for future API changes. Overall, these changes deliver tangible business value through faster feature delivery, improved UX, and a more scalable frontend architecture.
September 2025
28 Commits • 17 Features
Sep 1, 2025September 2025: Frontend focused milestone with a comprehensive UI overhaul, auth/UI enhancements, and stability hardening across ISE-UET-AutoML/frontend. Delivered new landing and login/register UIs, redesigned Projects/Datasets and Project View, added a new Select Instance view, and improved build/workflow flows. Implemented light theme support and data-type icons, refined paging for datasets and projects, and modernized the user experience for faster onboarding. Resolved multiple merge conflicts and errors to stabilize the codebase, and updated the Axios configuration for future API changes. Overall, these changes deliver tangible business value through faster feature delivery, improved UX, and a more scalable frontend architecture.
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for ISE-UET-AutoML/frontend focusing on evaluation of a landing page experiment and maintaining production stability. The team launched an initial AutoML landing page overhaul on the frontend to test engagement and onboarding flows, then reverted the change in production to stabilize the main branch while preparing the deployment for future iterations. This cycle balanced experimentation with risk management and set the stage for data-driven UX decisions.
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for ISE-UET-AutoML/frontend focusing on evaluation of a landing page experiment and maintaining production stability. The team launched an initial AutoML landing page overhaul on the frontend to test engagement and onboarding flows, then reverted the change in production to stabilize the main branch while preparing the deployment for future iterations. This cycle balanced experimentation with risk management and set the stage for data-driven UX decisions.
August 2025
Activity
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Quality Metrics
Correctness89.6%
Maintainability88.4%
Architecture85.8%
Performance84.0%
AI Usage23.2%
Skills & Technologies
Programming Languages
CSSDockerfileHTMLJSXJavaScriptReactSVG
Technical Skills
API IntegrationAnimationAnt DesignAuthenticationCSSCSS StylingCSS VariablesCode CleanupComponent ArchitectureComponent DesignComponent-Based ArchitectureContext APICookie ManagementCustom HooksDark Mode Implementation
Repositories Contributed To
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