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Sanghyup Lee

PROFILE

Sanghyup Lee

Sung Lee developed interactive lab simulations and AI-driven features for the MDSiam8/q2l_t3_stack repository over four months, focusing on both user experience and technical robustness. He engineered a dissolve animation workflow using React, Three.js, and GSAP, enhancing realism in virtual lab steps. Lee implemented persistent lab progress and asset management, refactoring state keys and routing logic in TypeScript to ensure reliable experiment resumption and reduce maintenance. He also integrated an AI chatbot with OpenAI API, building both frontend and backend components in Next.js and JavaScript. His work demonstrated depth in component design, state management, and seamless API integration across features.

Overall Statistics

Feature vs Bugs

83%Features

Repository Contributions

7Total
Bugs
1
Commits
7
Features
5
Lines of code
1,219
Activity Months4

Work History

March 2025

2 Commits • 2 Features

Mar 1, 2025

Summary for 2025-03: Two key feature deliveries in MDSiam8/q2l_t3_stack focused on user interaction and UI robustness. 1) Interactive Chatbot: collapsible UI and function-calling integration to locate objects, improving task efficiency. 2) Flexible Camera and UI: viewLocation prop and prop-driven camera configuration for smaller canvases; enhanced ChatBot UI and ChatCanvas blur/unlock controls. Overall impact: faster object location workflows, improved UX on constrained canvases, and reduced configuration overhead. Technologies demonstrated: React component architecture, function-calling integration, prop-driven configuration, UI/UX refinements.

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025: Delivered the AI Chatbot feature integrated into the MDSiam8/q2l_t3_stack dashboard, enabling a seamless end-to-end AI interaction path from frontend UI to a backend API that communicates with OpenAI. Users can interact with AI-generated responses directly within the dashboard. Implementation centers on a single commit (a9b7abfb3940bbb2b62d8b9295309d6ad1adf37f) and establishes a scalable foundation for future enhancements in prompts, context handling, and analytics. This work enhances user support capabilities and lays groundwork for broader automation across the product.

November 2024

3 Commits • 1 Features

Nov 1, 2024

November 2024 monthly summary for MDSiam8/q2l_t3_stack focused on delivering robust lab-state experiences and stabilizing asset loading across labs. Key work centered on persistent progress, step-based navigation, and lab-specific state management to support reliable experiment resumption and reduce maintenance burden. Improvements to routing and storage keys enhance user workflow continuity, while asset loading fixes reduce runtime errors in asset-heavy labs.

October 2024

1 Commits • 1 Features

Oct 1, 2024

October 2024: Delivered a new Dissolve Sample Step (Step 13) in the Standard Stock Solution Lab simulation, including a 3D beaker model with dissolve animation and a refactor of the glass rod component to be forward-path compatible. Implemented end-to-end workflow: pour distilled water into the beaker, then insert the glass rod to initiate the dissolving animation. These changes improve lab realism, component reusability, and set the stage for future steps.

Activity

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Quality Metrics

Correctness87.2%
Maintainability80.0%
Architecture81.4%
Performance85.8%
AI Usage40.0%

Skills & Technologies

Programming Languages

CSSGLSLJSXJavaScriptTypeScripttsx

Technical Skills

3D AnimationAI IntegrationAPI IntegrationAsset ManagementBackend DevelopmentComponent DesignComponent RefactoringDreiFront End DevelopmentFrontend DevelopmentGSAPGSAP AnimationJavaScriptNext.jsOpenAI API

Repositories Contributed To

1 repo

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

MDSiam8/q2l_t3_stack

Oct 2024 Mar 2025
4 Months active

Languages Used

GLSLJavaScriptTypeScriptJSXtsxCSS

Technical Skills

3D AnimationComponent DesignDreiGSAPReactState Management