Jonathan Chang is an AI Engineer at Parambil, focusing on designing scalable systems that extract actionable insights from multimodal data. They hold a Master's degree in Operations Research from Columbia University, a Master's degree in Applied Mathematics, and a Bachelor's degree in Logistics, Materials, and Supply Chain Management from National Chiao Tung University. Previous experience includes roles as a Research Assistant Intern at Washington University in St. Louis and as a Teaching Assistant, where they developed data-driven models and facilitated cross-department collaboration. Jonathan effectively blends innovative AI techniques with legacy methods, optimizing user experiences across diverse teams.
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