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Muly Yahav

Deep Learning Algorithm Researcher at Axon Pulse

Muly Yahav is a skilled Deep Learning Algorithm Researcher at Axon Pulse, focusing on the development of deep learning models for classification and segmentation tasks as well as classical computer vision and signal processing algorithms for remote sensing applications. Prior experience includes a role as a Business Analyst at Navat Capital and an Equity Analyst at Shine Group, where Muly Yahav sourced and evaluated investment opportunities across various sectors in the US and beyond, emphasizing sound fundamentals and quality management. Muly Yahav also served as a System Engineer in the Israel Defense Forces, overseeing a critical project from design to deployment, and held the position of Squad Commander Officer during training. Educational qualifications include a Bachelor of Science in Electrical and Electronics Engineering from the Technion - Israel Institute of Technology and a Master of Science in Financial Mathematics from Bar-Ilan University.

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Axon Pulse

Axon Pulse is a next-generation radar signal processing engine. They improved detection, resolution, and separation, tracking and radar sensitivity and range. Their deep learning techniques, which unearth hidden information in the radar signals, surpass traditional radar algorithms and greatly enhance the perception of radar.


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Headquarters

Tel Aviv, Israel

Employees

11-50

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