Summary
Eran Yogev is an AI applied researcher with 11 years of experience building resource-efficient machine learning systems for real-world, constrained devices and enterprise environments. Currently at General Motors, he applies a strong engineering foundation—rooted in a BSc in Software Engineering and an M.Sc. in Information Systems—to productionize AI solutions that balance accuracy with memory and power constraints. Previously he led algorithms at Somatix, delivering online detection models for sleep, drinking, smoking and fall detection on wristbands and optimizing signal-processing pipelines for low-energy streaming data. Comfortable across Python, C, Java and SQL, he combines hands-on implementation with team leadership and developer training, having led data-science workshops and engineering teams. His background includes full-stack and research collaborations with academic institutions, and operational experience from early roles in the IDF that shaped his pragmatic approach to system reliability and team management. He is notable for translating academic rigor into deployable, battery- and memory-aware ML solutions for digital health and embedded sensing.
11 years of coding experience
7 years of employment as a software developer
Network and System Administration/Administrator, Network and System Administration/Administrator at Israel Defense Forces - Meytav College
Bachelor of Science (BSc), Computer Software Engineering, 88.77, Bachelor of Science (BSc), Computer Software Engineering, 88.77 at Ben-Gurion University of the Negev
English, Hebrew