Yuyang Luan is a Senior R&D Engineer with a decade of experience applying industrial AI, big data analytics, and engineering expertise to safety-critical and manufacturing problems. With an MSc in Aerospace Engineering from TU Delft, he has a strong track record of translating advanced ML and AI×CAE research into production solutions—leading teams at MultiSimTech to build SOTA domain LLM agents and battery smart-manufacturing algorithms and now improving vehicle safety through accident research at Tesla. He combines hands-on simulation and surrogate-modeling experience from aerospace projects with cloud and data-architecture skills honed at Deloitte and VodafoneZiggo, enabling end-to-end delivery from ETL and forecasting to model deployment. Known for bridging domain engineering and data science, he often tackles problems where physics-informed modeling and large-scale data intersect, driving measurable performance and safety gains.
10 years of coding experience
4 years of employment as a software developer
Master’s Degree, Aerospace Engineering - Aerodynamics, 8.1/10, Master’s Degree, Aerospace Engineering - Aerodynamics, 8.1/10 at Delft University of Technology
Contributions:26 commits, 24 pushes, 1 branch in 2 years 11 months
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