kili-technology/kili-python-sdk
Nov 2024 – Sep 2025
4 Months active
Languages Used
PythonJSONTOML
Technical Skills
API IntegrationBackend DevelopmentData ExportLLMCode RefactoringPackage Management
@fanny.gaudin
PROFILE
@fanny.gaudin
Fanny Gaudin contributed to the kili-python-sdk by building and refining data export pipelines, focusing on robust handling of annotation formats and export consistency. She developed features such as conversation-level annotation export for dynamic LLM projects and introduced a shared library to unify export format processing across multiple workflows, reducing code duplication and improving maintainability. Using Python, JSON, and modular SDK development practices, Fanny also enhanced file handling for COCO exports and stabilized the test suite through targeted dependency management. Her work addressed both feature delivery and bug resolution, ensuring reliable data flows and supporting scalable, testable backend infrastructure.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
3
Lines of code
1,588
Activity Months4
Your Network
21 peopleSame Organization
@kili-technology.com8
Work History
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
Correctness90.0%
Maintainability96.0%
Architecture94.0%
Performance84.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONPythonTOML
Technical Skills
API IntegrationBackend DevelopmentCode RefactoringData ExportDependency ManagementFile HandlingJSON SerializationLLMPackage ManagementSDK DevelopmentTesting
Repositories Contributed To
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