software-mansion/react-native-executorch
Feb 2026 – May 2026
4 Months active
Languages Used
TypeScriptC++JavaScriptMarkdownCMake
Technical Skills
React Nativecomputer visionmodel deploymentAndroid developmentReactdocumentation
Bartosz Hanc
PROFILE
Bartosz Hanc
Contributed to the software-mansion/react-native-executorch repository by delivering advanced computer vision and AI/ML features for mobile platforms over four months. Developed and integrated semantic segmentation and quantized vision models, including DeeplabV3, EfficientNetV2, and FastSAM, with cross-platform support for iOS and Android. Addressed concurrency and memory management issues in C++ and React Native, improving model reliability and performance. Enhanced developer experience through comprehensive documentation, updated benchmarks, and onboarding materials. Fixed UI and thread-safety bugs, ensuring stable deployment of LLM and speech models. Demonstrated expertise in C++, TypeScript, and benchmarking while maintaining code quality and alignment with evolving platform requirements.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
13Total
Bugs
3
Commits
13
Features
8
Lines of code
2,676
Activity Months4
Your Network
13 peopleWork History
May 2026
4 Commits • 2 Features
May 1, 2026May 2026 monthly summary for software-mansion/react-native-executorch: Delivered key features and fixes with clear business value. Highlights include FastSAM integration with multi-prompt support, updated benchmarks, and documentation; a UI bug fix for markdown list rendering in the LLM example app; and Speech Models API documentation improvements. Cross-platform validation (iOS/Android) ensured quality and operability. Demonstrated strong skills in model integration, TS postprocessing, documentation, and performance benchmarking. This work increases platform capabilities for advanced segmentation, improves developer onboarding, and maintains alignment with existing codebase to minimize duplication.
4 Commits • 2 Features
May 1, 2026May 2026 monthly summary for software-mansion/react-native-executorch: Delivered key features and fixes with clear business value. Highlights include FastSAM integration with multi-prompt support, updated benchmarks, and documentation; a UI bug fix for markdown list rendering in the LLM example app; and Speech Models API documentation improvements. Cross-platform validation (iOS/Android) ensured quality and operability. Demonstrated strong skills in model integration, TS postprocessing, documentation, and performance benchmarking. This work increases platform capabilities for advanced segmentation, improves developer onboarding, and maintains alignment with existing codebase to minimize duplication.
May 2026
April 2026
4 Commits • 3 Features
Apr 1, 2026April 2026 monthly summary for software-mansion/react-native-executorch focusing on business value and technical achievements across the React Native ExecuTorch integration.
April 2026
4 Commits • 3 Features
Apr 1, 2026April 2026 monthly summary for software-mansion/react-native-executorch focusing on business value and technical achievements across the React Native ExecuTorch integration.
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026: Delivered quantized CV model support for mobile apps, stabilized LLM memory management, and refreshed developer documentation to improve onboarding and cross-platform reliability. The work enhances mobile AI performance, reduces runtime memory footprint, and aligns with ExecuTorch v1.1.0 across the repo.
4 Commits • 2 Features
Mar 1, 2026March 2026: Delivered quantized CV model support for mobile apps, stabilized LLM memory management, and refreshed developer documentation to improve onboarding and cross-platform reliability. The work enhances mobile AI performance, reduces runtime memory footprint, and aligns with ExecuTorch v1.1.0 across the repo.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary: Focused on expanding computer vision capabilities by delivering semantic segmentation model support across quantized and FP32 runtimes in the react-native-executorch repo. Implemented DeeplabV3, LRASPP, and FCN pipelines, tested on both iOS and Android, and prepared production-ready model pages on HuggingFace. No major bugs fixed this month; work centered on feature delivery, maintainability, and documentation. Strong cross-team collaboration contributed to a robust, release-ready enhancement with clear deprecation and usage notes for mobile CV models.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary: Focused on expanding computer vision capabilities by delivering semantic segmentation model support across quantized and FP32 runtimes in the react-native-executorch repo. Implemented DeeplabV3, LRASPP, and FCN pipelines, tested on both iOS and Android, and prepared production-ready model pages on HuggingFace. No major bugs fixed this month; work centered on feature delivery, maintainability, and documentation. Strong cross-team collaboration contributed to a robust, release-ready enhancement with clear deprecation and usage notes for mobile CV models.
Activity
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Quality Metrics
Correctness97.0%
Maintainability87.6%
Architecture87.6%
Performance86.2%
AI Usage30.8%
Skills & Technologies
Programming Languages
C++CMakeJavaScriptMarkdownTypeScript
Technical Skills
AI/ML model integrationAndroid developmentC++ DevelopmentC++ developmentConcurrency ManagementReactReact Nativebenchmarkingbuild system managementcomputer visiondocumentationfront end developmentfull stack developmentiOS developmentinstance segmentation
Repositories Contributed To
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