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hhxwang

PROFILE

Hhxwang

Over a three-month period, contributed to arvindkrishna87/STAT390_SP25_CMIL by developing and refining end-to-end medical image classification workflows using Python, PyTorch, and Jupyter Notebook. Built EfficientNet-B2 and EfficientNet-B3 pipelines with robust data preprocessing, model training, and evaluation components. Enhanced model performance by integrating CBAM attention mechanisms into EfficientNet and ResNet architectures, and addressed data imbalance through targeted remediation. Led ensemble experiments across staining methods to improve generalization, while maintaining clear documentation and reproducible workflows. Finalized production-ready deliverables and presentations, demonstrating strong code organization, artifact management, and Git discipline to support seamless project handoff and auditability for future development.

Overall Statistics

Feature vs Bugs

85%Features

Repository Contributions

38Total
Bugs
2
Commits
38
Features
11
Lines of code
1,058,814
Activity Months3

Work History

June 2025

18 Commits • 2 Features

Jun 1, 2025

June 2025 monthly summary for arvindkrishna87/STAT390_SP25_CMIL. Focused on finalizing and polishing the batch 1 presentation and consolidating the final deliverables. No major bugs reported this month; all work centered on creating production-ready artifacts with a clear commit history for auditability and handoff.

May 2025

17 Commits • 7 Features

May 1, 2025

May 2025 Monthly Summary for arvindkrishna87/STAT390_SP25_CMIL: Delivered attention-focused modeling enhancements via CBAM integration, initiated ensemble-oriented experimentation, and strengthened project documentation and governance. The month also included targeted data handling improvements and preparation of week-by-week presentation materials to support reproducibility and communications.

April 2025

3 Commits • 2 Features

Apr 1, 2025

Delivered two end-to-end medical image classification features for arvindkrishna87/STAT390_SP25_CMIL in April 2025, establishing a reproducible ML workflow and benchmarking setup.

Activity

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Quality Metrics

Correctness88.4%
Maintainability88.4%
Architecture89.4%
Performance83.2%
AI Usage52.2%

Skills & Technologies

Programming Languages

ExcelJupyter NotebookPython

Technical Skills

Attention MechanismsCBAMCode OrganizationComputer VisionData AnalysisData AugmentationData PreprocessingData SplittingData VisualizationDeep LearningEfficientNetFile ManagementImage ClassificationImage ProcessingJupyter Notebook

Repositories Contributed To

1 repo

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

arvindkrishna87/STAT390_SP25_CMIL

Apr 2025 Jun 2025
3 Months active

Languages Used

PythonExcelJupyter Notebook

Technical Skills

Computer VisionData PreprocessingDeep LearningImage ClassificationMachine LearningModel Training