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azhou860

PROFILE

Azhou860

Over a three-month period, this developer contributed to the arvindkrishna87/STAT390_WI2025 repository by building data preprocessing toolkits, conducting empirical research, and enhancing image analysis workflows for CNN-based OCT segmentation. Using Python and Jupyter Notebook, they standardized image loading and manipulation pipelines, implemented robust documentation practices, and improved reproducibility for experimental studies. Their work included literature-backed analysis of patch size requirements, development of visualization tools for epithelium coverage, and correction of tangent and normal calculations to ensure accurate contour representation. These efforts strengthened the reliability of data pipelines, supported evidence-based experimentation, and improved project maintainability through clear technical documentation.

Overall Statistics

Feature vs Bugs

83%Features

Repository Contributions

16Total
Bugs
1
Commits
16
Features
5
Lines of code
9,712
Activity Months3

Work History

March 2025

7 Commits • 2 Features

Mar 1, 2025

March 2025: Delivered targeted improvements to epithelium coverage and visualization, fixed tangents/normals calculation issues, and reorganized Presentation 6 assets to align with milestone deliverables. The work enhances contour accuracy, epithelium width estimation reliability, and project maintainability, enabling clearer analysis and stronger stakeholder communications. Key traceability via commit history.

February 2025

7 Commits • 2 Features

Feb 1, 2025

February 2025: Delivered core data prep and experimental documentation updates for STAT390_WI2025. Implemented an Image Dataset Preprocessing Toolkit with notebooks to standardize training/testing pipelines (image background handling, resizing, cropping) and initiated an Experiment Study on Background Ratio Robustness with literature survey and findings documented. Completed documentation cleanup and artifact organization to improve reproducibility and onboarding. No major defects fixed this month; focus was on building foundation for reliable experiments and data pipelines.

January 2025

2 Commits • 1 Features

Jan 1, 2025

January 2025 (2025-01) — Delivered literature-backed documentation and slide updates for Presentation 2 on patch size analysis (powers of 2) in CNNs for OCT segmentation. Consolidated literature contributions, performed an empirical assessment of patch-size requirements, and refreshed the slide deck to reflect findings. No major bug fixes this month; focus remained on knowledge consolidation and material readiness for next sprint. This work strengthens evidence-based design decisions and supports future experiments.

Activity

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Quality Metrics

Correctness87.4%
Maintainability90.0%
Architecture83.8%
Performance81.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

Jupyter NotebookPythonTextplaintext

Technical Skills

Computer VisionData AnalysisData LoadingData PreprocessingData VisualizationDocumentationExperimentationImage ManipulationImage ProcessingJupyter NotebookLiterature ReviewNumerical ComputingPresentationPythonResearch

Repositories Contributed To

1 repo

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

arvindkrishna87/STAT390_WI2025

Jan 2025 Mar 2025
3 Months active

Languages Used

TextJupyter NotebookPythonplaintext

Technical Skills

Literature ReviewPresentationResearchResearch AnalysisTechnical WritingData Analysis