Rami Zaboura began their work experience in 2019 as a Research Assistant at Ben-Gurion University of the Negev. In this role, they focused on improving cognitive abilities through cognitive training and electrical stimulation. Rami conducted scientific tests and analyzed EEG recordings of brain activity.
In 2021, Rami joined RAVIN.AI as an Algorithm Developer. Their responsibilities include end-to-end research to create a vehicle physical condition report. Rami specializes in training deep neural networks to predict the location of a car in space and classify car scenes to identify reported damages.
Rami Zaboura obtained a Bachelor's degree in Computational Brain Science from Ben-Gurion University of the Negev, where they studied from 2017 to 2021. Additionally, from 2020 to 2021, they pursued an Associate Degree in Data Science at NAYA-College. The specific field of study for the Associate Degree is not provided.
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