Arik Poznanski is an AI researcher and seasoned computer vision expert with two decades of software and algorithm development experience, currently driving research at Decart. He has led large, cross-regional teams at Meta and Amazon to ship production-grade CV systems—from hyper-realistic Codec Avatars and Quest 3 space mapping to virtual try-on and outfit recommendation engines—while improving training speed and scaling dataset generation by orders of magnitude. Technically hands-on in Python, C++, and C#, Arik pairs deep research instincts with production engineering, infrastructure design, and patented algorithmic work in cryptanalysis and communications. A dual-degree Technion graduate and Tel Aviv University M.Sc. with highest honors, he combines rigor in mathematics with practical system-building, and is known for squeezing months of compute out of training pipelines through targeted algorithmic and engineering optimizations.
10 years of coding experience
17 years of employment as a software developer
Bachelor of Science (B.Sc.) Mathematics, Bachelor of Science (B.Sc.) Mathematics at Technion - Israel Institute of Technology
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at Tel Aviv University
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