Sam Lausten

Machine Learning Engineer II at Torc Robotics

Sam Lausten is a skilled Machine Learning Engineer at Torc Robotics, specializing in developing advanced solutions that integrate machine learning and complex algorithms to address self-driving challenges. Prior experience includes roles as Data Engineer II, focused on creating and automating custom training data, and Data Engineer, where work involved HD Mapping Software and Algorithms for the Virtual Driver Stack. Prior to Torc, Sam served as a Covid-19 Data Intern at Virginia Tech, enhancing data entry and reporting methods during the pandemic. Early career experience includes instructional and retail roles at Surf Shack South, where over 1,000 hours of specialized surf instruction were provided. Sam holds a Master's degree in Data Science from the University of Colorado Boulder and a Bachelor's degree in Environmental Data Science from Virginia Tech.

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