viso.ai
Pavel Z. is an experienced IoT Edge Engineer at viso.ai, specializing in edge computing solutions for IoT deployments. With a strong background in embedded Linux, Pavel has designed and maintained an in-house OS based on the Yocto Project, optimizing it for various hardware platforms. Previous experience includes a role as a Software Engineer at SUSE, contributing to automotive Linux solutions, and significant positions at Huawei and Red Hat, where Pavel focused on software maintenance and development for operating systems and virtualization technologies. Pavel holds an Engineer's degree in Avionics Maintenance Technology from an aviation engineering institute, completed in 2006.
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viso.ai
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The Viso Suite provides the world's first end-to-end computer vision application platform for businesses to build and scale computer vision applications dramatically faster and easier. The model-driven infrastructure is used by some of the world's leading organizations across industries.The end-to-end platform provides a no-codeinterface to increase productivity, maximize system compatibility, and establish standardization across a portfolio of different computer vision applications. Applications built with the Viso Suite are flexible, easily upgraded, and can be ported across different hardware platforms (cameras, computing) with little or no modification, providing a solution that future-proofs customers' investment in computer vision application development.