Eran Goldman is a Senior CV & DL Researcher with a PhD in Machine Learning and over a decade of hands-on R&D experience building deep neural networks and graphical-model solutions for real-world computer vision challenges. He has driven research-to-product work at Shopic since 2020 after developing detection and fine-grained structured classification algorithms at Trax Image Recognition, and earlier built sensor-fusion tracking systems at Ness Technologies. Eran specializes in large-scale fine-grained structured classification and crowded-scene object detection, pairing academic rigor with production engineering to close the gap between complex models and deployable systems. Known for consistently strong academic performance (Magna Cum Laude BSc and MSc) and a practical bent, he brings both theoretical depth and field-tested implementation skills to ML problems in retail and beyond.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BSc), Computer Engineering, 92, Magna Cum Laude, Bachelor of Science (BSc), Computer Engineering, 92, Magna Cum Laude at Bar-Ilan University
Contributions:22 commits, 2 PRs, 24 pushes in 1 year 6 months
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