kili-technology/kili-python-sdk
Nov 2024 – Feb 2026
8 Months active
Languages Used
PythonYAMLJSONTOMLMarkdown
Technical Skills
API DevelopmentBackend DevelopmentCI/CDPythonTestingData Conversion
paulruelle
PROFILE
Paulruelle
Worked extensively on the kili-technology/kili-python-sdk, delivering new asset import systems and enhancing geospatial and audio data workflows. Developed robust GeoJSON and audio asset ingestion pipelines, introducing features like multi-file import, metadata enrichment, and validation for both local and hosted sources. Improved backend reliability by refining CI/CD processes, standardizing terminology, and updating dependencies for compatibility. Addressed bugs in geospatial multi-layer imports and streamlined asset filtering with new query operators. Emphasized maintainability through code cleanup, documentation updates, and deprecation handling. Leveraged Python, JSON, and YAML, applying skills in API development, data integration, and unit testing to support scalable labeling workflows.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
31Total
Bugs
4
Commits
31
Features
14
Lines of code
5,400
Activity Months8
Your Network
23 peopleSame Organization
@kili-technology.com8
Aurélien LombardMember
@baptiste33Member
Clément BussièreMember
@fanny.gaudinMember
Florian LE GALLMember
Josselin BUILSMember
Nicolas HervéMember
stchabiMember
Shared Repositories
15
Aurélien LombardMember
@baptiste33Member
Clément BussièreMember
@fanny.gaudinMember
Florian LE GALLMember
Florian Le gallMember
github-actionsMember
Josselin BUILSMember
Josselin BUILSMember
Work History
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for the kili-python-sdk focusing on delivering business value through new asset capabilities and compatibility improvements.
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for the kili-python-sdk focusing on delivering business value through new asset capabilities and compatibility improvements.
February 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered Audio Asset Import System in the kili-python-sdk, introducing an AudioDataImporter to support importing audio assets into the Kili platform from both local and hosted sources and to validate audio data types. This work is tied to commit a4d58c4bf55ee4ee1f147a6bb64f0f43bd33a62a (feat(LAB-4165): add audio asset import support). No major bugs fixed this month. Impact: expands data ingestion capabilities, reduces manual steps for audio data onboarding, and strengthens the SDK for audio labeling workflows, enabling faster time-to-value for audio projects. Technologies/skills demonstrated: Python SDK design and extension, modular import pipeline, AudioDataImporter class, data-type validation, handling local and hosted assets.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered Audio Asset Import System in the kili-python-sdk, introducing an AudioDataImporter to support importing audio assets into the Kili platform from both local and hosted sources and to validate audio data types. This work is tied to commit a4d58c4bf55ee4ee1f147a6bb64f0f43bd33a62a (feat(LAB-4165): add audio asset import support). No major bugs fixed this month. Impact: expands data ingestion capabilities, reduces manual steps for audio data onboarding, and strengthens the SDK for audio labeling workflows, enabling faster time-to-value for audio projects. Technologies/skills demonstrated: Python SDK design and extension, modular import pipeline, AudioDataImporter class, data-type validation, handling local and hosted assets.
November 2025
4 Commits • 2 Features
Nov 1, 2025November 2025: Delivered targeted enhancements to the Python SDK to improve asset querying reliability and long-term maintainability. The work focused on empowering customers with stronger filtering capabilities and cleaner legacy support, while strengthening code quality and deprecation handling.
4 Commits • 2 Features
Nov 1, 2025November 2025: Delivered targeted enhancements to the Python SDK to improve asset querying reliability and long-term maintainability. The work focused on empowering customers with stronger filtering capabilities and cleaner legacy support, while strengthening code quality and deprecation handling.
November 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for kili-python-sdk. Focused on terminology standardization to improve clarity for geospatial assets within the SDK and documentation. Delivered a geospatial terminology consistency update replacing 'geosat' with 'geospatial' across docs and code examples, supporting multi-layer satellite imagery workflows on the Kili platform. This change is aligned with LAB-3920 and committed as 5567c39e29cd8739c20f88cd71ac4cbdf510b581. No major bugs fixed this month; the work emphasizes documentation quality, maintainability, and developer onboarding.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for kili-python-sdk. Focused on terminology standardization to improve clarity for geospatial assets within the SDK and documentation. Delivered a geospatial terminology consistency update replacing 'geosat' with 'geospatial' across docs and code examples, supporting multi-layer satellite imagery workflows on the Kili platform. This change is aligned with LAB-3920 and committed as 5567c39e29cd8739c20f88cd71ac4cbdf510b581. No major bugs fixed this month; the work emphasizes documentation quality, maintainability, and developer onboarding.
August 2025
1 Commits
Aug 1, 2025August 2025 monthly summary: Delivered a targeted bug fix in the kili-python-sdk to improve geospatial multi-layer asset imports. The fix removes the .tif extension from bucket paths and uses a simple index-based approach to ensure correct file path resolution during multi-layer asset imports, addressing a failure mode observed in geospatial projects. This change reduces import errors and improves reliability for downstream analysis pipelines relying on multi-layer datasets. Committed as LAB-3923 (hash 9bc5f63f850b330a795379c65c65151f28f3890f).
1 Commits
Aug 1, 2025August 2025 monthly summary: Delivered a targeted bug fix in the kili-python-sdk to improve geospatial multi-layer asset imports. The fix removes the .tif extension from bucket paths and uses a simple index-based approach to ensure correct file path resolution during multi-layer asset imports, addressing a failure mode observed in geospatial projects. This change reduces import errors and improves reliability for downstream analysis pipelines relying on multi-layer datasets. Committed as LAB-3923 (hash 9bc5f63f850b330a795379c65c65151f28f3890f).
August 2025
July 2025
16 Commits • 5 Features
Jul 1, 2025July 2025 focused on elevating GeoJSON data ingestion and SDK robustness in kili-python-sdk, delivering feature-rich import workflows, metadata support, and quality improvements while updating documentation and maintenance tasks.
July 2025
16 Commits • 5 Features
Jul 1, 2025July 2025 focused on elevating GeoJSON data ingestion and SDK robustness in kili-python-sdk, delivering feature-rich import workflows, metadata support, and quality improvements while updating documentation and maintenance tasks.
June 2025
3 Commits • 2 Features
Jun 1, 2025June 2025: Delivered GeoJSON import support in the Kili Python SDK and aligned dependencies to enhance geospatial labeling workflows and reliability. Key feature: added append_labels_from_geojson_files to import, convert, and append GeoJSON annotations to a target asset, supporting multiple files, merging content, and appending labels. Comprehensive tests cover various GeoJSON geometries and edge cases. Dependency hygiene: bumped kili-formats to 0.2.4 across main, development, and optional dependencies. No critical bugs detected; quality improvements through test coverage and dependency updates. Business impact: reduced manual data curation, improved data consistency, and extended geospatial capability within the SDK. Technologies demonstrated: Python SDK development, GeoJSON processing, unit testing, and dependency management.
3 Commits • 2 Features
Jun 1, 2025June 2025: Delivered GeoJSON import support in the Kili Python SDK and aligned dependencies to enhance geospatial labeling workflows and reliability. Key feature: added append_labels_from_geojson_files to import, convert, and append GeoJSON annotations to a target asset, supporting multiple files, merging content, and appending labels. Comprehensive tests cover various GeoJSON geometries and edge cases. Dependency hygiene: bumped kili-formats to 0.2.4 across main, development, and optional dependencies. No critical bugs detected; quality improvements through test coverage and dependency updates. Business impact: reduced manual data curation, improved data consistency, and extended geospatial capability within the SDK. Technologies demonstrated: Python SDK development, GeoJSON processing, unit testing, and dependency management.
June 2025
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 (kili-technology/kili-python-sdk): Focused on API simplification and CI stability to drive developer productivity and reliable validation. Delivered a cleaner LLM Asset Creation API by removing the status parameter, reducing boilerplate and ambiguity in asset creation, with updated client methods and unit tests. Also tightened CI reliability by relaxing the coverage threshold to 82.99% to prevent minor gaps from causing false failures. These changes reduce integration friction, accelerate asset onboarding, and improve feedback loops, leveraging Python SDK best practices, unit testing, and CI/CD discipline.
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 (kili-technology/kili-python-sdk): Focused on API simplification and CI stability to drive developer productivity and reliable validation. Delivered a cleaner LLM Asset Creation API by removing the status parameter, reducing boilerplate and ambiguity in asset creation, with updated client methods and unit tests. Also tightened CI reliability by relaxing the coverage threshold to 82.99% to prevent minor gaps from causing false failures. These changes reduce integration friction, accelerate asset onboarding, and improve feedback loops, leveraging Python SDK best practices, unit testing, and CI/CD discipline.
Activity
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Quality Metrics
Correctness94.8%
Maintainability93.6%
Architecture92.2%
Performance90.4%
AI Usage20.6%
Skills & Technologies
Programming Languages
JSONMarkdownPythonTOMLYAML
Technical Skills
API DevelopmentAPI IntegrationAPI developmentBackend DevelopmentCI/CDCode CleanupCode QualityContent ManagementData ConversionData EngineeringData FormattingData IntegrationData ProcessingData ValidationDependency Management
Repositories Contributed To
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