arvindkrishna87/STAT390_WI2025
Jan 2025 – Mar 2025
3 Months active
Languages Used
TextJupyter NotebookPythonplaintext
Technical Skills
Literature ReviewPresentationResearchResearch AnalysisTechnical WritingData Analysis
azhou860
PROFILE
Azhou860
Alex Zhou contributed to the arvindkrishna87/STAT390_WI2025 repository by developing tools and documentation for computer vision experiments focused on OCT image segmentation. Over three months, Alex built a preprocessing toolkit in Python and Jupyter Notebook to standardize image loading, background handling, and cropping, supporting reproducible CNN training pipelines. He conducted literature-backed analyses on patch size requirements and background ratio robustness, integrating empirical findings into project presentations. Alex also improved epithelium coverage estimation by refining mask annotations and visualizing tangents and normals, addressing calculation bugs to enhance contour accuracy. His work demonstrated depth in data preprocessing, research analysis, and technical writing.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
16Total
Bugs
1
Commits
16
Features
5
Lines of code
9,712
Activity Months3
Your Network
83 people
Work History
March 2025
7 Commits • 2 Features
Mar 1, 2025March 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.
7 Commits • 2 Features
Mar 1, 2025March 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.
March 2025
February 2025
7 Commits • 2 Features
Feb 1, 2025February 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.
February 2025
7 Commits • 2 Features
Feb 1, 2025February 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, 2025January 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.
2 Commits • 1 Features
Jan 1, 2025January 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.
January 2025
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
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