open-edge-platform/geti-sdk
Oct 2024 – Dec 2024
2 Months active
Languages Used
PythonMarkdown
Technical Skills
Backend DevelopmentConfiguration ManagementData ModelingInstance SegmentationSDK DevelopmentRelease Management
ljcornel
PROFILE
Ljcornel
Worked on the open-edge-platform/geti-sdk repository, delivering both feature development and critical bug fixes over a two-month period. Addressed robustness in anomaly detection configuration and instance segmentation label processing by improving input validation and type coercion, ensuring reliable configuration loading and stable data pipelines. Enhanced the SDK’s resilience by handling boolean-like strings and empty label values, reducing runtime failures in production. Led the release management for SDK v2.6.0, updating documentation and changelogs to streamline customer onboarding and compatibility. Utilized Python, Markdown, and version control systems, demonstrating strengths in backend development, configuration management, and disciplined release engineering practices.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
3Total
Bugs
2
Commits
3
Features
1
Lines of code
22
Activity Months2
Your Network
2122 peopleSame Organization
@intel.com2109
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered the SDK v2.6.0 release for open-edge-platform/geti-sdk, along with updated release notes and changelog. This work improves downstream compatibility, speeds customer onboarding, and strengthens release traceability.
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered the SDK v2.6.0 release for open-edge-platform/geti-sdk, along with updated release notes and changelog. This work improves downstream compatibility, speeds customer onboarding, and strengthens release traceability.
December 2024
October 2024
2 Commits
Oct 1, 2024October 2024: Delivered critical robustness fixes for anomaly detection configuration and instance segmentation label processing in open-edge-platform/geti-sdk. These changes improve configuration loading reliability and prevent downstream issues caused by empty or None label values, enhancing model reliability and user experience for downstream applications relying on stable anomaly detection and segmentation workflows.
October 2024
2 Commits
Oct 1, 2024October 2024: Delivered critical robustness fixes for anomaly detection configuration and instance segmentation label processing in open-edge-platform/geti-sdk. These changes improve configuration loading reliability and prevent downstream issues caused by empty or None label values, enhancing model reliability and user experience for downstream applications relying on stable anomaly detection and segmentation workflows.
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture73.4%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Backend DevelopmentConfiguration ManagementData ModelingInstance SegmentationRelease ManagementSDK DevelopmentVersion Control
Repositories Contributed To
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