Rushikesh Kulkarni is a Professional Software Engineer specializing in CAE Automation and AI Applications at EDAG Group since July 2021, with prior experience as a Simulation Engineer focused on crash management systems. Kulkarni has expertise in conducting simulations using LSDyna, Radioss, and Abaqus, as well as model building with ANSA. During a master's thesis, an optimization algorithm was developed utilizing a surrogate model and Reinforcement Learning to reduce development costs and time for component sizing. Previous roles include Graduate Research Assistant at ITA Institut für Textiltechnik, Design Engineer at DEW POND ENGINEERS, and Head of Department at Resonance Racing. Educational qualifications include a Master of Science in Management and Engineering in Computer Aided Mechanical Engineering from RWTH Aachen University and Maastricht School of Management, alongside a Bachelor of Engineering in Mechanical Engineering from Savitribai Phule Pune University.
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