Anafa Cohen

Anafa Cohen has a diverse work experience in the field of computer vision and deep learning algorithm development.

Starting in 2016, Cohen worked at The Center for Educational Technology (CET) as a Physics Content Expert until 2018.

In 2019, Cohen held two roles simultaneously. At Primrose, Cohen worked as a Deep Learning Researcher from February to September. Additionally, at PlanetWatchers, Cohen worked as a Computer Vision Algorithm Developer from September 2019 to April 2021. At PlanetWatchers, Cohen conducted research and developed deep learning algorithms for semantic segmentation of radar satellite images in the field of agriculture using Python, Tensorflow, OpenCV, and GDAL.

In 2022, Cohen joined Pixellot - AI-Automated Sports Production as an Algorithm Developer. At Pixellot, Cohen was responsible for developing AI algorithms for real-time video processing, utilizing machine learning and computer vision techniques for the automatic production of sports events. This included tasks such as player detection and tracking, game-actions classification, and game state indication. Cohen's tenure at Pixellot lasted from January to July.

Most recently, in 2023, Cohen started working at Taranis as a Computer Vision and Deep Learning Algorithm Engineer. Further details about this role are not available at this time.

Anafa Cohen pursued their education at various institutions. From 2011 to 2015, they attended Ben-Gurion University of the Negev, obtaining a Bachelor of Science degree in Physics. In 2018 and 2019, they participated in a Machine Learning Bootcamp at Primrose. Additionally, they obtained certifications from Stanford University (CS231n: Convolutional Neural Networks for Visual Recognition) and Duke University (Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital) in 2019.