pskcci/DX-01
Nov 2024 – Dec 2024
2 Months active
Languages Used
C++MarkdownPython
Technical Skills
CNNData PreprocessingData ScienceData StructuresDeep LearningDocumentation
Jang_HJ
PROFILE
Jang_hj
Over two months, contributed to the pskcci/DX-01 repository by developing machine learning pipelines, documentation, and automation tools. Built and evaluated models for image classification and stock price forecasting using Python, TensorFlow, and NumPy, implementing CNNs, RNNs, and gradient descent techniques. Enhanced onboarding and reproducibility by standardizing documentation and creating reusable templates. Developed a factory simulation tool with OpenVINO-based dual-camera processing, enabling real-time motion and color detection for automation testing. Improved repository hygiene through artifact cleanup and contributor record corrections. The work demonstrated depth in computer vision, data preprocessing, and embedded systems, with a focus on maintainability and clarity.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
15Total
Bugs
2
Commits
15
Features
7
Lines of code
1,341
Activity Months2
Your Network
11 peopleShared Repositories
11
Work History
December 2024
5 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for pskcci/DX-01 focused on delivering clarity in project scope and enabling hands-on CV/automation testing through a new factory simulation tool. The month emphasized documentation, branding, and robust OpenVINO-based processing for multi-camera streams, aligning stakeholder expectations with practical capabilities and reducing onboarding time.
5 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for pskcci/DX-01 focused on delivering clarity in project scope and enabling hands-on CV/automation testing through a new factory simulation tool. The month emphasized documentation, branding, and robust OpenVINO-based processing for multi-camera streams, aligning stakeholder expectations with practical capabilities and reducing onboarding time.
December 2024
November 2024
10 Commits • 5 Features
Nov 1, 2024November 2024 performance summary for DX-01 focusing on documentation, utilities, ML coursework pipelines, and project hygiene. Delivered reusable templates and docs, coursework Python/image processing utilities, ML model implementations with training/evaluation, stock price forecasting scripts with visualization, and a lightweight mini-project scaffolding. Also addressed contributor record accuracy and removed obsolete artifacts to improve repository hygiene. Result: faster onboarding, improved reproducibility, and clearer ownership; demonstrated strong Python/ML capabilities, data visualization, and project governance.
November 2024
10 Commits • 5 Features
Nov 1, 2024November 2024 performance summary for DX-01 focusing on documentation, utilities, ML coursework pipelines, and project hygiene. Delivered reusable templates and docs, coursework Python/image processing utilities, ML model implementations with training/evaluation, stock price forecasting scripts with visualization, and a lightweight mini-project scaffolding. Also addressed contributor record accuracy and removed obsolete artifacts to improve repository hygiene. Result: faster onboarding, improved reproducibility, and clearer ownership; demonstrated strong Python/ML capabilities, data visualization, and project governance.
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++MarkdownPython
Technical Skills
CNNComputer VisionData PreprocessingData ScienceData StructuresDeep LearningDocumentationEmbedded SystemsFinanceGradient DescentImage ClassificationImage ProcessingMachine LearningModel EvaluationModel Training
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline