Paul Guerrie
About Paul Guerrie
Paul Guerrie is a Machine Learning Engineer currently focused on developing and maintaining advanced machine learning algorithms for computer vision at Roboflow. He has a background in aerospace engineering and has held various positions in data science and research at organizations such as CACI International Inc and Lockheed Martin.
Work at Roboflow
Currently, Paul Guerrie serves as a Machine Learning Engineer at Roboflow, where he is responsible for developing, training, deploying, and maintaining advanced machine learning algorithms specifically for computer vision applications. His role involves leveraging state-of-the-art techniques to enhance the capabilities of Roboflow's offerings in the machine learning domain.
Previous Experience in Machine Learning
Before joining Roboflow, Paul Guerrie worked at CACI International Inc as a Data Scientist from 2019 to 2021, where he contributed to various data-driven projects in Aurora, Colorado. Additionally, he held a position as a Research Scientist at Lockheed Martin from 2015 to 2019, where he developed algorithms for processing remote sensing data and built several machine learning prototypes from the ground up.
Education and Expertise
Paul Guerrie earned both his Bachelor's and Master's degrees in Aerospace, Aeronautical and Astronautical Engineering from the University of Colorado Boulder. He completed his Bachelor's degree from 2010 to 2015 and his Master's degree from 2013 to 2015. His educational background provides a strong foundation for his work in machine learning and computer vision.
Background in Academia
Paul Guerrie has a background in academia, having worked at the University of Colorado Boulder in various roles. He served as a Lab Assistant from 2013 to 2014 and as a Course Assistant for four months in 2014. Additionally, he worked as a Teaching Assistant from 2014 to 2015, gaining valuable experience in educational support and research.