UVeye
Barr Morgenstein is an experienced algorithm developer currently working at UVeye since October 2024, previously at Autobrains Technologies where responsibilities included leading the development of object detection algorithms and managing deep learning projects. Prior roles include Algorithm Researcher at Technion R&D Ltd., focusing on algorithm design using unsupervised learning, and Research Coordinator at NYU Langone Health, involved in statistical analyses of clinical data. Additional experience includes positions as an RT Embedded Software Engineer and Validation and Verification Engineer at Q Core Medical Ltd., a Customer Success Manager at OrcaMed, and service in the Intelligence unit 8200 of the Israel Defense Forces. Barr Morgenstein holds a Master’s degree from New York University and a Bachelor’s degree from Tel Aviv University in Electrical and Electronics Engineering.
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UVeye
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UVeye develops and provides automated inspection systems for vehicles, powered by artificial intelligence and proprietary hardware.