aignostics/python-sdk
Dec 2025 – Mar 2026
3 Months active
Languages Used
PythonYAML
Technical Skills
CI/CDDICOM handlingImage processingPython DevelopmentPython developmentShell Scripting
Blanca Pablos
PROFILE
Blanca Pablos
Blanca developed and enhanced core features for the aignostics/python-sdk over a three-month period, focusing on backend reliability and usability. She implemented DICOM highest-resolution filtering for WSI processing, improving data quality by ensuring only optimal images are processed. Her work included CLI enhancements for concise run summaries and item-level filtering, streamlining user workflows and data access. Blanca also updated the default GPU type to A100, aligning the SDK with production hardware. Using Python, YAML, and shell scripting, she addressed CI/CD security, fixed test suite alignment after version changes, and maintained robust unit testing, demonstrating depth in software architecture and backend development.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
4
Lines of code
1,398
Activity Months3
Your Network
28 peopleWork History
March 2026
3 Commits
Mar 1, 2026March 2026: Delivered critical test-suite alignment to production version 1.1.0 for the aignostics/python-sdk. Fixed test expectations and constants to reflect the latest release, ensuring tests validate against the current production version and remain reliable after subsequent version changes. This work enhances release confidence, stabilizes CI, and preserves feature integrity for downstream users.
3 Commits
Mar 1, 2026March 2026: Delivered critical test-suite alignment to production version 1.1.0 for the aignostics/python-sdk. Fixed test expectations and constants to reflect the latest release, ensuring tests validate against the current production version and remain reliable after subsequent version changes. This work enhances release confidence, stabilizes CI, and preserves feature integrity for downstream users.
March 2026
February 2026
3 Commits • 3 Features
Feb 1, 2026February 2026 focused on delivering concise run visibility, targeted data access, and hardware consistency in the aignostics/python-sdk. Key features include a CLI Run Details Summary option for quick run/status overviews, item-level filtering for fetch/run results, and updating the default GPU type to A100 with corresponding test adjustments. These changes improve usability, reliability, and alignment with production configurations while preserving clean output artifacts. A notable reliability improvement was fixing a CLI CSV handling issue during item filtering.
February 2026
3 Commits • 3 Features
Feb 1, 2026February 2026 focused on delivering concise run visibility, targeted data access, and hardware consistency in the aignostics/python-sdk. Key features include a CLI Run Details Summary option for quick run/status overviews, item-level filtering for fetch/run results, and updating the default GPU type to A100 with corresponding test adjustments. These changes improve usability, reliability, and alignment with production configurations while preserving clean output artifacts. A notable reliability improvement was fixing a CLI CSV handling issue during item filtering.
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for aignostics/python-sdk. Delivered a major WSI processing enhancement and security fixes that improve reliability, security, and developer productivity. Key outcomes include the DICOM Highest-Resolution Filtering feature integration for the WSI service, plus CI/CD hardening to mitigate shell-injection risks and Windows console width issues in CI. The changes reduce processing errors by ensuring only the highest-resolution DICOM images are processed, improve CI reliability on Windows, and clarify dependency requirements.
2 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for aignostics/python-sdk. Delivered a major WSI processing enhancement and security fixes that improve reliability, security, and developer productivity. Key outcomes include the DICOM Highest-Resolution Filtering feature integration for the WSI service, plus CI/CD hardening to mitigate shell-injection risks and Windows console width issues in CI. The changes reduce processing errors by ensuring only the highest-resolution DICOM images are processed, improve CI reliability on Windows, and clarify dependency requirements.
December 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability87.6%
Architecture87.6%
Performance87.6%
AI Usage27.6%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
API developmentCI/CDCLI DevelopmentDICOM handlingImage processingPythonPython DevelopmentPython developmentShell ScriptingSoftware architectureUnit Testingbackend developmenttestingversion control
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