Stanford University
Doctor of Philosophy (Ph.D.), Mechanical Engineering
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Results-driven Mechanical Engineer with more than 10 years of experience in mechanical design, computational simulation, and AI-based engineering studies. Capable of using advanced methods of analysis and simulation, such as FEA, CFD, and machine learning, to optimise a real-world mechanical system and test the engineering output generated by AI to differentiate between its precision and accuracy. Professional in the energy, aerospace, and automotive industries, having a successful track record in creating AI-aided design solutions, writing peer-reviewed research, and working on inter-disciplinary projects, including artificial intelligence and mechanical systems. Skilled in offering straightforward, organized feedback on engineering content, conducting technical reviews, and having intricate mechanical processes modeled with scientific and scholarly rigor in AI model development. Dedicated to the idea of utilizing smart systems to promote innovation, improve engineering performance, and overcome the challenge between the old approach to design and the new opportunities offered by AI.
Michael P. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Doctor of Philosophy (Ph.D.), Mechanical Engineering
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