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Mykyta Rohovyi is a skilled data scientist with extensive experience in developing innovative data-driven solutions across various industries. Currently employed at Tolstoy, Mykyta focuses on enhancing customer conversion and engagement through advanced video analysis utilizing classical machine learning, foundation models, and visual LLMs. Prior roles include serving as Lead AI/ML Engineer at Spector.AI, where Mykyta developed remote visual inspection solutions, and as a data scientist at SeeTree, specializing in AI applications for agritech and tree health assessment. Additional experience includes research and development of reinforcement learning, natural language processing, and computer vision projects at Quantum_Inc. and TeamDev. Mykyta holds a Master of Science degree in Applied Mathematics and dual Bachelor's degrees in Applied Mathematics and International Business.