
In February 2026, Bartosz Hanc expanded the computer vision capabilities of the software-mansion/react-native-executorch repository by implementing semantic segmentation model support for DeeplabV3, LRASPP, and FCN across both quantized and FP32 runtimes. Working primarily in TypeScript and leveraging React Native, Bartosz developed and validated end-to-end pipelines for iOS and Android, ensuring production readiness and maintainability. He contributed comprehensive documentation, inline code comments, and clear deprecation notes to guide future development. The work included preparing HuggingFace model pages to streamline integration, and involved close cross-team collaboration, resulting in a robust, release-ready enhancement for mobile computer vision applications.
February 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 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.

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