Summary
Naomi Tsabari is an AI researcher with eight years of hands-on experience building and deploying computer vision and foundation-model solutions for industrial applications. She has led development of detection, segmentation, and classification models, designed end-to-end vision pipelines, and fine-tuned foundation models for domain-specific tasks while improving robustness and evaluation. At Senecio Robotics she combined algorithm design, cloud training (AWS/GCP), and data/annotation leadership to productionize robot perception systems, and now continues applied research at Matyatech. Concurrently pursuing a master’s in computer science, Naomi blends solid mathematical foundations with practical engineering in Python and SQL. She also has experience designing agent-based workflows and mentoring developers, highlighting both technical depth and team-focused impact. Based in Israel, she brings a research-driven approach to turning complex CV and AI problems into reliable production systems.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science and Mathematics, Bachelor's degree, Computer Science and Mathematics at Ariel University