Yoav Pinsky

Software Engineer @ BioSense

About Yoav Pinsky

Yoav Pinsky is a Software Engineer with extensive experience in computer vision algorithms and medical imaging. He has worked at Biosense Webster since 2015 and has a background that includes roles at Intel and a degree from Technion - Israel Institute of Technology.

Work at BioSense Webster

Yoav Pinsky has been employed at BioSense Webster as a Software Engineer since 2015. In this role, he focuses on developing and optimizing software systems related to medical imaging and computer vision. His work involves applying his expertise in DICOM standards and leveraging various technologies to enhance software performance and functionality.

Education and Expertise

Yoav Pinsky earned a Bachelor of Science degree from the Technion - Israel Institute of Technology, completing his studies from 1999 to 2004. His educational background provides a strong foundation for his expertise in computer vision algorithms and medical imaging. He has developed skills in object-oriented design and is proficient in multiple programming languages, including C++, C#, and Java.

Background in Software Development

Before joining BioSense Webster, Yoav Pinsky worked at Intel Design Center in Haifa as a Validation Design Automation Engineer from 2000 to 2005. His experience at Intel contributed to his knowledge of multi-threading and operating systems, including Windows, Linux, and Android. He has a strong background in using technologies such as Winforms, WPF, OpenGL, and CUDA in software development.

Technical Skills and Proficiencies

Yoav Pinsky possesses a diverse set of technical skills relevant to software engineering. He is experienced in network protocols like TCP/IP and has utilized MATLAB for algorithm optimization. Additionally, he is familiar with scripting languages such as Perl and Python, which enhances his ability to develop complex multidisciplinary software systems.

Experience with Computer Vision and Medical Imaging

Yoav Pinsky has a strong focus on computer vision algorithms and medical imaging throughout his career. His expertise includes working with DICOM standards, which are essential for handling, storing, and transmitting medical images. This specialization supports his contributions to software solutions in the medical field.

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