JANGHANPYEONG/20252R0136COSE48002
Jul 2025 – Aug 2025
2 Months active
Languages Used
BinaryJSONPythonYAMLGitHTMLJavaScriptSQL
Technical Skills
Artifact ManagementCNNComputer VisionConfiguration ManagementData PreprocessingData Serialization
kminbo
PROFILE
Kminbo
Over two months, contributed to the JANGHANPYEONG/20252R0136COSE48002 repository by developing machine learning pipeline features and modernizing backend APIs. Delivered PCA and hyperspectral imaging modules to support advanced data analysis, while stabilizing model training and test reliability. Migrated core APIs from Flask to FastAPI, enhancing performance and maintainability, and expanded data models to improve integrity and support new sensory evaluation features. Implemented streaming and real-time communication capabilities using Python, SQLAlchemy, and FastAPI, and maintained robust configuration management. Addressed bugs and deprecated modules, ensuring a clean codebase and enabling more efficient machine learning experimentation and backend development.
Overall Statistics
Feature vs Bugs
76%Features
Repository Contributions
44Total
Bugs
5
Commits
44
Features
16
Lines of code
1,074,355
Activity Months2
Your Network
9 peopleShared Repositories
9
Work History
August 2025
22 Commits • 11 Features
Aug 1, 2025August 2025 monthly summary for JANGHANPYEONG/20252R0136COSE48002 focused on delivering API migrations, data model enhancements, and ML backend readiness to improve performance, reliability, and data integrity. The month combined migration work, infrastructure updates, and feature additions to enable faster feature delivery and more robust ML experimentation.
22 Commits • 11 Features
Aug 1, 2025August 2025 monthly summary for JANGHANPYEONG/20252R0136COSE48002 focused on delivering API migrations, data model enhancements, and ML backend readiness to improve performance, reliability, and data integrity. The month combined migration work, infrastructure updates, and feature additions to enable faster feature delivery and more robust ML experimentation.
August 2025
July 2025
22 Commits • 5 Features
Jul 1, 2025July 2025 monthly summary focused on delivering core ML pipeline features, stabilizing model training, and improving test reliability across the JANGHANPYEONG/20252R0136COSE48002 repository.
July 2025
22 Commits • 5 Features
Jul 1, 2025July 2025 monthly summary focused on delivering core ML pipeline features, stabilizing model training, and improving test reliability across the JANGHANPYEONG/20252R0136COSE48002 repository.
Activity
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Quality Metrics
Correctness79.2%
Maintainability79.6%
Architecture76.2%
Performance69.0%
AI Usage21.4%
Skills & Technologies
Programming Languages
BinaryGitHTMLJSONJavaScriptPythonSQLYAML
Technical Skills
API DevelopmentArtifact ManagementBackend DevelopmentCNNCRUDCeleryCode OrganizationComputer VisionConfiguration ManagementData InitializationData PreprocessingData SerializationDatabase ManagementDatabase ModelingDeep Learning
Repositories Contributed To
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