Omer Nagar is a data scientist with eight years of experience combining deep learning, computer vision and NLP across research and product roles at Apple, Thomson Reuters, Visual Layer and Walmart Aspectiva. Holding an M.Sc. in Electrical Engineering and a B.Sc. in Mathematics & Computer Science, he has led projects end-to-end—from research and prototype to production-grade C++ implementations and APIs. His work spans graph-based models, mislabel detection, large-scale image visualization and GCNs, and he is comfortable running experiments on GPU clusters and cloud platforms. Notably, he has translated research into practical systems, shipping compact, efficient models and open-source-ready interfaces that simplify integration for engineering teams. Based in Israel, he brings a balance of rigorous academic research and hands-on product delivery.
8 years of coding experience
7 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering - Data Science, Master's degree, Electrical and Electronics Engineering - Data Science at Bar-Ilan University
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