Daniel Wessel is a Lead AI Engineer at Motius, where they specialize in machine learning with a focus on agentic workflows and multi-modal models. Previously, as a Machine Learning Specialist and AI Cluster Lead at Motius, Daniel provided technical leadership, supervised engineering teams, and contributed to various innovative projects, including an in-car personal assistant and real-time object detection systems. Daniel’s educational background includes a Bachelor's Degree in Computer Science from California Polytechnic State University-San Luis Obispo and a Master's Degree in Informatics from the Technical University of Munich, achieving high academic honors. Additionally, Daniel has gained diverse experience through multiple internships, focusing on software development and cloud technologies.
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