arvindkrishna87/STAT390_WI2025
Feb 2025 – Mar 2025
2 Months active
Languages Used
MarkdownPythonTextJupyter Notebook
Technical Skills
Code DebuggingCode ReviewComputer VisionContribution DocumentationData VisualizationDocumentation
jakemead2025
PROFILE
Jakemead2025
Jake Mead developed a robust patch-based tissue image analysis pipeline for the arvindkrishna87/STAT390_WI2025 repository, focusing on automating patch extraction, alignment, and mask processing. He engineered dynamic patch sizing based on tissue characteristics and epithelium width, integrated mask smoothing with Gaussian filters, and enforced non-overlapping patch selection to improve segmentation accuracy and patch quality. Using Python, OpenCV, and Jupyter Notebook, Jake streamlined the workflow to reduce manual preprocessing and enhance reproducibility. He also updated documentation and contribution guidelines, supporting knowledge transfer and traceability. The work demonstrated depth in computer vision, scientific computing, and collaborative code development practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
22Total
Bugs
0
Commits
22
Features
5
Lines of code
3,787
Activity Months2
Your Network
83 people
Work History
March 2025
18 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for arvindkrishna87/STAT390_WI2025: Delivered two core features for robust patch-based tissue image analysis, plus documentation improvements and quality enhancements. The patch extraction and alignment workflow automates contour processing, normals/tangents calculation, patch sizing based on epithelial width, non-overlapping patch selection, XY-axis alignment, and per-patch image export; padding and background-color matching were added to increase robustness. The mask smoothing enhancement introduces compute_smoothed_mask, Gaussian smoothing, and a flag-driven option to export smoothed vs. original masks, improving segmentation accuracy and patch quality. Documentation updates in README support reproducibility and knowledge transfer. These changes enable a repeatable, scalable patch-based analysis pipeline with higher accuracy and reduced manual preprocessing. Commit activity includes multiple commits across features: 2373a552862caba101cda571157157a534098c6c56e; 0f65f6c079c6045eb0c13c579f30a1c5c4954915; 15ad913df0107303d4ccf46a0678406ae6e73860; 28d6068642f0b106e7f0c2ebd16dcd59c58fa1c9; ddf63db23ef545b4ced3a19ff243d3cd8eadacfa; f9313abd437d97df43deeb93bd67a292aa5a4d87...; 30bc87794fb3639de1d84e790d0f2e00d7f84c4f.
18 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for arvindkrishna87/STAT390_WI2025: Delivered two core features for robust patch-based tissue image analysis, plus documentation improvements and quality enhancements. The patch extraction and alignment workflow automates contour processing, normals/tangents calculation, patch sizing based on epithelial width, non-overlapping patch selection, XY-axis alignment, and per-patch image export; padding and background-color matching were added to increase robustness. The mask smoothing enhancement introduces compute_smoothed_mask, Gaussian smoothing, and a flag-driven option to export smoothed vs. original masks, improving segmentation accuracy and patch quality. Documentation updates in README support reproducibility and knowledge transfer. These changes enable a repeatable, scalable patch-based analysis pipeline with higher accuracy and reduced manual preprocessing. Commit activity includes multiple commits across features: 2373a552862caba101cda571157157a534098c6c56e; 0f65f6c079c6045eb0c13c579f30a1c5c4954915; 15ad913df0107303d4ccf46a0678406ae6e73860; 28d6068642f0b106e7f0c2ebd16dcd59c58fa1c9; ddf63db23ef545b4ced3a19ff243d3cd8eadacfa; f9313abd437d97df43deeb93bd67a292aa5a4d87...; 30bc87794fb3639de1d84e790d0f2e00d7f84c4f.
March 2025
February 2025
4 Commits • 3 Features
Feb 1, 2025February 2025 work summary for arvindkrishna87/STAT390_WI2025: Delivered adaptive patch sizing, algorithm enhancements for patching, and documentation/contribution workflow updates. Focused on business value by reducing manual tuning, improving mask compatibility, and clarifying contributor guidance. All changes are tracked via commits in the repository to support traceability.
February 2025
4 Commits • 3 Features
Feb 1, 2025February 2025 work summary for arvindkrishna87/STAT390_WI2025: Delivered adaptive patch sizing, algorithm enhancements for patching, and documentation/contribution workflow updates. Focused on business value by reducing manual tuning, improving mask compatibility, and clarifying contributor guidance. All changes are tracked via commits in the repository to support traceability.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture73.8%
Performance62.6%
AI Usage21.8%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPythonText
Technical Skills
Code DebuggingCode ReviewComputer VisionContribution DocumentationData AnalysisData VisualizationDocumentationImage ProcessingJupyter NotebookMatplotlibNumPyOpenCVScientific ComputingScript Execution
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