Exodigo
Giora Hasson is an experienced algorithm developer with a strong background in data science and research. Currently at Exodigo since December 2024, Giora previously worked at Autobrains Technologies, where advanced signal processing algorithms for automotive radar systems were optimized to enhance object detection and tracking capabilities. At Moodify, Giora applied Graph Neural Network architectures for predicting molecular odor characteristics and developed an end-to-end pipeline for data processing and evaluation. Previous experience includes researching climate dynamics at The Hebrew University of Jerusalem and conducting experiments in quantum optics. Giora also served in the Israel Defense Forces as a Research and Development Technician in Electro-optics, focusing on experimental design and data analysis. Giora holds a Master of Science in Engineering from Tel Aviv University and a Bachelor's degree in Physics and Earth Sciences from The Hebrew University of Jerusalem.
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Exodigo
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Every year, over $100B is spent on excavation and drilling, trying to discover what’s underground so companies can find out if they’re about to hit a gas pipeline, water source, find oil, or anything else that’s hidden underneath the surface.