kili-technology/kili-python-sdk
Nov 2024 – Jul 2026
8 Months active
Languages Used
PythonJSONTOML
Technical Skills
API IntegrationBackend DevelopmentData ExportLLMCode RefactoringPackage Management
@fanny.gaudin
PROFILE
@fanny.gaudin
Worked on the kili-python-sdk repository, delivering features and fixes that enhanced data export, API integration, and backend reliability. Built unified export pipelines and refactored annotation handling to support LLM, geospatial, and audio projects, using Python and JSON for robust data processing. Introduced asynchronous programming and a custom HttpClient to improve export throughput and HTTP reliability, while reducing external dependencies. Consolidated export format logic into a shared library, streamlining onboarding for new formats and reducing maintenance. Addressed bugs in geospatial and label retrieval workflows, expanded integration testing, and maintained code quality through dependency management, unit testing, and modular SDK development practices.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
17Total
Bugs
3
Commits
17
Features
9
Lines of code
5,421
Activity Months8
Your Network
23 peopleSame Organization
@kili-technology.com8
Aurélien LombardMember
@baptiste33Member
Clément BussièreMember
Florian LE GALLMember
Josselin BUILSMember
Nicolas HervéMember
paulruelleMember
stchabiMember
Shared Repositories
15
Aurélien LombardMember
@baptiste33Member
Clément BussièreMember
Florian LE GALLMember
Florian Le gallMember
github-actionsMember
Josselin BUILSMember
Josselin BUILSMember
Nicolas HervéMember
Work History
July 2026
2 Commits • 1 Features
Jul 1, 2026July 2026 monthly summary for kili-python-sdk: Focused on unifying label data retrieval in the API gateway and eliminating redundant jsonResponseUrl configuration to reduce API calls and technical debt. Delivered cross-project type consistency, updated integration tests, and clarified data retrieval flow across project types (excluding LLM-based projects).
2 Commits • 1 Features
Jul 1, 2026July 2026 monthly summary for kili-python-sdk: Focused on unifying label data retrieval in the API gateway and eliminating redundant jsonResponseUrl configuration to reduce API calls and technical debt. Delivered cross-project type consistency, updated integration tests, and clarified data retrieval flow across project types (excluding LLM-based projects).
July 2026
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary focused on kili-python-sdk improvements with emphasis on LLM annotation handling and jsonResponse reliability for Projects. Delivered targeted refactoring to isolate LLM-specific annotation logic and introduced asset/label listing methods to ensure accurate jsonResponse construction and resolution of missing jsonResponseUrl for LLM projects.
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary focused on kili-python-sdk improvements with emphasis on LLM annotation handling and jsonResponse reliability for Projects. Delivered targeted refactoring to isolate LLM-specific annotation logic and introduced asset/label listing methods to ensure accurate jsonResponse construction and resolution of missing jsonResponseUrl for LLM projects.
February 2026
5 Commits • 2 Features
Feb 1, 2026Feb 2026: Delivered two major features in kili-python-sdk with measurable business value and multiple code fixes, focusing on data export workflows and API efficiency.
5 Commits • 2 Features
Feb 1, 2026Feb 2026: Delivered two major features in kili-python-sdk with measurable business value and multiple code fixes, focusing on data export workflows and API efficiency.
February 2026
January 2026
3 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for the kili-python-sdk focused on delivering performance, reliability, and maintainability enhancements. The team shipped two major features with measurable impact on asset export throughput and HTTP request reliability, leveraging asyncio-based I/O and a custom HttpClient to reduce external dependencies and improve SSL handling.
January 2026
3 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for the kili-python-sdk focused on delivering performance, reliability, and maintainability enhancements. The team shipped two major features with measurable impact on asset export throughput and HTTP request reliability, leveraging asyncio-based I/O and a custom HttpClient to reduce external dependencies and improve SSL handling.
September 2025
1 Commits
Sep 1, 2025In September 2025, delivered a critical stability improvement for geospatial project labeling in the kili-python-sdk by fixing how geospatial annotations are handled and converted during label retrieval, ensuring consistent jsonResponse data flow and reducing downstream errors.
1 Commits
Sep 1, 2025In September 2025, delivered a critical stability improvement for geospatial project labeling in the kili-python-sdk by fixing how geospatial annotations are handled and converted during label retrieval, ensuring consistent jsonResponse data flow and reducing downstream errors.
September 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 performance summary for kili-python-sdk. Focused on delivering a robust data export pathway and stabilizing the test suite to improve data pipeline interoperability and CI reliability.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 performance summary for kili-python-sdk. Focused on delivering a robust data export pathway and stabilizing the test suite to improve data pipeline interoperability and CI reliability.
April 2025
1 Commits • 1 Features
Apr 1, 2025Month: 2025-04 - Key feature delivered: Unified Export Formats handling via the new kili_export_formats shared library in kili-python-sdk. Consolidates export format processing across LLM RLHF, LLM static/dynamic, VOC, and YOLO export formats by moving formatting logic from individual export services to the shared library. Commit: 023a26d0b7292ec34e3a6db4dc2aa3821c0cb03a. Business impact: reduced code duplication, improved maintainability, and a single source of truth for export formats, enabling faster onboarding of new formats and more reliable export pipelines. Major bugs fixed: none this month. Technologies/skills demonstrated: Python library design, modular architecture, cross-format orchestration, testing readiness.
1 Commits • 1 Features
Apr 1, 2025Month: 2025-04 - Key feature delivered: Unified Export Formats handling via the new kili_export_formats shared library in kili-python-sdk. Consolidates export format processing across LLM RLHF, LLM static/dynamic, VOC, and YOLO export formats by moving formatting logic from individual export services to the shared library. Commit: 023a26d0b7292ec34e3a6db4dc2aa3821c0cb03a. Business impact: reduced code duplication, improved maintainability, and a single source of truth for export formats, enabling faster onboarding of new formats and more reliable export pipelines. Major bugs fixed: none this month. Technologies/skills demonstrated: Python library design, modular architecture, cross-format orchestration, testing readiness.
April 2025
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — Focused on delivering robust export capabilities for dynamic projects in the kili-python-sdk, with a targeted refactor to support conversation-level annotations. Key feature delivered: LLM Export: Conversation-Level Annotations (Dynamic Projects), including inclusion of conversation-level data in exports; static export updates implemented to align with the new handling. No major bugs reported or fixed this month; work centered on improving data fidelity and developer experience. Business value: enables precise analytics and reporting for LLM-driven dynamic projects, reduces post-processing effort, and strengthens export pipelines. Technologies/skills demonstrated: Python SDK development, data modeling and export pipeline refactoring, versioned commit practices, and cross-cutting data alignment.
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — Focused on delivering robust export capabilities for dynamic projects in the kili-python-sdk, with a targeted refactor to support conversation-level annotations. Key feature delivered: LLM Export: Conversation-Level Annotations (Dynamic Projects), including inclusion of conversation-level data in exports; static export updates implemented to align with the new handling. No major bugs reported or fixed this month; work centered on improving data fidelity and developer experience. Business value: enables precise analytics and reporting for LLM-driven dynamic projects, reduces post-processing effort, and strengthens export pipelines. Technologies/skills demonstrated: Python SDK development, data modeling and export pipeline refactoring, versioned commit practices, and cross-cutting data alignment.
Activity
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Quality Metrics
Correctness93.6%
Maintainability88.2%
Architecture91.2%
Performance85.8%
AI Usage29.4%
Skills & Technologies
Programming Languages
JSONPythonTOML
Technical Skills
API DevelopmentAPI IntegrationAPI developmentAPI integrationBackend DevelopmentCode RefactoringData ExportDependency ManagementFile HandlingGraphQLIntegration TestingJSON SerializationLLMPackage ManagementPython
Repositories Contributed To
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