Zohar Bar-yehuda is a Chief Data Scientist and co-founder with 12 years of experience building production-ready analytics and algorithmic systems across geolocation, computer vision, image processing, and machine learning. He has a proven track record of turning raw mobile and sensor data into actionable insights at scale, combining supervised and unsupervised modeling with pragmatic integration of web and third-party signals. A MATLAB power user for rapid prototyping and algorithm design, he also brings deep C++ expertise in real-time optimization, including ARM/NEON tuning from his work on wearable OCR and vision systems. His background in large-scale pattern matching and big-data mining from 8200 and enterprise location analytics at Verint gives him a rare mix of research-grade rigor and product-focused engineering. Colleagues rely on his knack for “sensing” data problems quickly and finding simple, elegant fixes that make complex pipelines robust. Based in Israel, he pairs hands-on technical leadership with startup experience in turning algorithms into deployed services.
12 years of coding experience
10 years of employment as a software developer
B.Sc Electrical and Computer engineering, B.Sc Electrical and Computer engineering at Ben-Gurion University of the Negev
Contributions:11 commits, 1 PR, 14 pushes in 5 months
pytorchmatlabdeep-learningcnnsmatconvnet
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Zohar Bar-yehuda - Chief Data Scientist And Co-Founder