JANGHANPYEONG/20252R0136COSE48002
Jul 2025 – Aug 2025
2 Months active
Languages Used
PythonCSSHTMLJavaScript
Technical Skills
Computer VisionConfiguration ManagementDeep LearningFeature ExtractionHyperspectral ImagingImage Processing
myeonghah
PROFILE
Myeonghah
Myeongha contributed to the JANGHANPYEONG/20252R0136COSE48002 repository by developing and refining deep learning models for 3D vision and hyperspectral imaging, including the WRN_3D_SE and SpectrumNet architectures. Leveraging Python, PyTorch, and React, Myeongha implemented config-driven training pipelines, enhanced model deployment workflows, and improved UI/UX for AI training and prediction interfaces. The work included expanding database models, integrating FastAPI endpoints for model orchestration, and stabilizing code through targeted bug fixes and refactoring. This engineering effort enabled scalable, end-to-end data-to-insight workflows, improved model accuracy, and streamlined deployment, demonstrating strong depth in backend, machine learning, and full-stack development.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
56Total
Bugs
5
Commits
56
Features
21
Lines of code
4,526
Activity Months2
Your Network
9 people
Work History
August 2025
32 Commits • 12 Features
Aug 1, 2025Monthly Summary for 2025-08 focused on delivering end-to-end improvements across the JANGHANPYEONG/20252R0136COSE48002 repository. The month combined model, UI, API, and deployment work to accelerate data-to-insight workflows, improve stability, and enable scalable operations.
32 Commits • 12 Features
Aug 1, 2025Monthly Summary for 2025-08 focused on delivering end-to-end improvements across the JANGHANPYEONG/20252R0136COSE48002 repository. The month combined model, UI, API, and deployment work to accelerate data-to-insight workflows, improve stability, and enable scalable operations.
August 2025
July 2025
24 Commits • 9 Features
Jul 1, 2025July 2025 performance summary highlighting major feature deliveries, stability improvements, and impact on product velocity. Delivered a set of 3D vision and sequence-processing models, stabilized experimentation with config-driven training, and hardened the codebase for scalable iterations. The work accelerates model deployment readiness and reduces friction in running end-to-end training pipelines.
July 2025
24 Commits • 9 Features
Jul 1, 2025July 2025 performance summary highlighting major feature deliveries, stability improvements, and impact on product velocity. Delivered a set of 3D vision and sequence-processing models, stabilized experimentation with config-driven training, and hardened the codebase for scalable iterations. The work accelerates model deployment readiness and reduces friction in running end-to-end training pipelines.
Activity
Loading activity data...
Quality Metrics
Correctness74.0%
Maintainability74.2%
Architecture71.2%
Performance66.0%
AI Usage20.6%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptPython
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCode RefactoringComputer VisionConfiguration ManagementData ModelingData RetrievalData VisualizationDatabase DesignDatabase InteractionDatabase ModelingDeep LearningExcel ParsingExplainable AI (XAI)
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline