kili-technology/kili-python-sdk
Dec 2024 – Jun 2025
2 Months active
Languages Used
Python
Technical Skills
API IntegrationBug FixingData ExportData ParsingSDK DevelopmentBackend Development
Nicolas Hervé
PROFILE
Nicolas Hervé
Worked on the kili-python-sdk repository to enhance reliability and efficiency in data export workflows, focusing on geospatial and YOLO annotation exports. Addressed export-time failures by improving jsonContent handling, ensuring correct identification and processing of file paths, and preventing errors when dictionaries were present. Optimized job pipeline performance by refining CategoryList casting logic, reducing redundant operations. Delivered a normalization fix for YOLO exports by stripping common image extensions before appending annotation suffixes, which improved data integrity for downstream pipelines. Demonstrated expertise in Python, backend development, and SDK development, with a focus on robust file handling and defensive data parsing throughout the codebase.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
3Total
Bugs
3
Commits
3
Features
0
Lines of code
30
Activity Months2
Your Network
15 peopleShared Repositories
15
Aurélien LombardMember
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Clément BussièreMember
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Florian LE GALLMember
Florian Le gallMember
github-actionsMember
Josselin BUILSMember
Josselin BUILSMember
Work History
June 2025
1 Commits
Jun 1, 2025June 2025 performance summary: Delivered a critical normalization fix for YOLO export in kili-python-sdk to prevent duplicate image extensions in exported annotation files. Implemented by stripping common image extensions (.jpg, .jpeg, .png, .bmp) before adding the .txt suffix, eliminating export inconsistencies and improving data integrity for downstream pipelines. This work reduces user confusion and prevents mislabeling in dataset exports. Continued alignment with product quality and reliability goals.
1 Commits
Jun 1, 2025June 2025 performance summary: Delivered a critical normalization fix for YOLO export in kili-python-sdk to prevent duplicate image extensions in exported annotation files. Implemented by stripping common image extensions (.jpg, .jpeg, .png, .bmp) before adding the .txt suffix, eliminating export inconsistencies and improving data integrity for downstream pipelines. This work reduces user confusion and prevents mislabeling in dataset exports. Continued alignment with product quality and reliability goals.
June 2025
December 2024
2 Commits
Dec 1, 2024Monthly summary for 2024-12: Reliability and efficiency improvements in kili-python-sdk, focusing on geospatial export workflows and JobPayload processing. Business impact: reduced export-time failures for GeoSAT projects and improved throughput and resource efficiency in job pipelines. Key work items: GeoSAT Project Export Robustness (fix jsonContent handling to correctly identify/process file paths, preventing errors when jsonContent includes dictionaries; commits: 5a21cdf3c2bc5200535c82f05cfd398d0ee6e59b; linked to #1827). JobPayload CategoryList Casting Optimization (cast CategoryList only once per job to avoid redundant work and boost performance; commits: 966223f7cab40526060ce4aa9de3beb344352a86b; linked to #1830). Technologies demonstrated: Python SDK development, defensive data handling, type-aware processing, and clear commit hygiene with issue linkage.
December 2024
2 Commits
Dec 1, 2024Monthly summary for 2024-12: Reliability and efficiency improvements in kili-python-sdk, focusing on geospatial export workflows and JobPayload processing. Business impact: reduced export-time failures for GeoSAT projects and improved throughput and resource efficiency in job pipelines. Key work items: GeoSAT Project Export Robustness (fix jsonContent handling to correctly identify/process file paths, preventing errors when jsonContent includes dictionaries; commits: 5a21cdf3c2bc5200535c82f05cfd398d0ee6e59b; linked to #1827). JobPayload CategoryList Casting Optimization (cast CategoryList only once per job to avoid redundant work and boost performance; commits: 966223f7cab40526060ce4aa9de3beb344352a86b; linked to #1830). Technologies demonstrated: Python SDK development, defensive data handling, type-aware processing, and clear commit hygiene with issue linkage.
Activity
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Quality Metrics
Correctness83.4%
Maintainability80.0%
Architecture73.4%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationBackend DevelopmentBug FixingData ExportData ParsingFile HandlingSDK Development
Repositories Contributed To
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