Vlad Yushchenko is a seasoned software engineer specializing in machine learning, currently employed at Meta since July 2025. Prior to this role, Vlad served as a Senior Machine Learning Engineer at CAPE Analytics, where notable achievements included developing a high-performance data store capable of rapidly fetching large quantities of images. Vlad's experience also encompasses work as a Machine Learning Engineer at intive, focusing on production-grade AI models and scalable pipelines, and as a Computer Vision Engineer at AGT International, where state-of-the-art deep learning models were prototyped. Vlad began the journey in the field as a System Analyst intern at the World Data Center for Geoinformatics and Sustainable Development. Educational qualifications include a Master of Science in Computer Science from Technische Universität Darmstadt, a Master's degree in Computer Science from Friedrich Schiller University Jena, and a Bachelor of Science in System Analysis from the National Technical University of Ukraine 'Kyiv Polytechnic Institute'.
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