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Exceeds
@fanny.gaudin

PROFILE

@fanny.gaudin

Worked extensively on the kili-python-sdk repository, delivering features and fixes that enhanced data export, annotation handling, and backend reliability. Focused on building robust export pipelines for LLM and geospatial projects, introducing unified export format libraries and supporting both static and dynamic workflows. Leveraged Python, JSON, and asynchronous programming to improve performance, including concurrent asset exports and custom HTTP clients for secure data transfer. Refactored code to isolate LLM-specific logic, stabilized test suites, and optimized API gateways for efficient data retrieval. Addressed bugs in geospatial label handling and export workflows, ensuring consistent, maintainable, and scalable backend systems for diverse annotation projects.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

15Total
Bugs
2
Commits
15
Features
8
Lines of code
5,230
Activity Months7

Your Network

23 people

Same Organization

@kili-technology.com
8
Aurélien LombardMember
@baptiste33Member
Clément BussièreMember
Florian LE GALLMember
Josselin BUILSMember
Nicolas HervéMember
paulruelleMember
stchabiMember

Shared Repositories

15

Work History

March 2026

2 Commits • 1 Features

Mar 1, 2026

March 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, 2026

Feb 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.

January 2026

3 Commits • 2 Features

Jan 1, 2026

January 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, 2025

In 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.

May 2025

2 Commits • 1 Features

May 1, 2025

May 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, 2025

Month: 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.

November 2024

1 Commits • 1 Features

Nov 1, 2024

Month: 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

Correctness92.6%
Maintainability86.6%
Architecture91.4%
Performance86.6%
AI Usage25.4%

Skills & Technologies

Programming Languages

JSONPythonTOML

Technical Skills

API DevelopmentAPI IntegrationAPI developmentAPI integrationBackend DevelopmentCode RefactoringData ExportDependency ManagementFile HandlingGraphQLJSON SerializationLLMPackage ManagementSDK DevelopmentTesting

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

kili-technology/kili-python-sdk

Nov 2024 Mar 2026
7 Months active

Languages Used

PythonJSONTOML

Technical Skills

API IntegrationBackend DevelopmentData ExportLLMCode RefactoringPackage Management