David Mayevsky

David Mayevsky is an accomplished Algorithm Developer at Mobileye, with a strong background in coding C++ algorithms, data visualization, and performance optimization. Prior experience includes a role as a Risk Data Scientist at Pagaya Investments, where David utilized machine learning and statistical analysis for significant financial decisions. As an Application Engineer at Applied Materials, David designed and tested algorithms to prevent sample damage, supporting major clients in the semiconductor industry. Previous positions also highlight expertise in data processing and machine learning from Signals Analytics and a solid foundation in research as a PhD Candidate at Monash University, where David authored several publications and invented a patented pH sensing electrode. David holds a Ph.D. in Materials Engineering and a dual degree in Materials Engineering and Physics from Monash University.