Yuval Tamir is a senior deep learning algorithms developer at Synaptics Incorporated since November 2022, focusing on the research and development of computer vision and image processing algorithms for embedded systems, utilizing frameworks such as TensorFlow and PyTorch. Previously, Yuval worked at Emza Visual Sense from March 2020 to October 2022, contributing to the development of machine learning-based computer vision technologies for efficient, battery-operated visual sensors. Prior experience includes roles at Hexagon Manufacturing Intelligence as a computer vision and image processing algorithms engineer, and two positions at Intel Corporation, where Yuval specialized in optical/image processing and RF test engineering. Yuval holds a Master of Science and a Bachelor of Science in Electrical and Electronics Engineering from Tel Aviv University, completed in 2018 and 2014, respectively.
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