Paul Barsic
About Paul Barsic
Paul Barsic is a Perception Software Engineer currently working at Zipline in Seattle, Washington. He has extensive experience in computer vision and remote sensing, having held positions at various companies including TerraClear Inc and Iris Automation Inc.
Work at Fly Zipline
Paul Barsic currently holds the position of Perception Software Engineer at Zipline, where he has been employed since 2023. His role involves developing software solutions that enhance perception capabilities, contributing to Zipline's mission of delivering medical supplies through drone technology.
Previous Employment Experience
Before joining Zipline, Paul Barsic worked at several organizations. He served as a Senior Machine Vision Engineer at TerraClear Inc from 2019 to 2022, and as a Senior Computer Vision Engineer at Iris Automation Inc from 2022 to 2023. Prior to these roles, he was a Scientist at Applied Physical Sciences Corp from 2013 to 2015 and a Staff Scientist at Areté Associates from 2008 to 2013. He also gained experience as a Graduate Assistant at the University of Minnesota from 2002 to 2007.
Education and Expertise
Paul Barsic earned his Ph.D. in Physics from the University of Minnesota, where he studied from 2002 to 2007. He also holds a Bachelor of Science in Engineering Physics from the University of Oklahoma, completed from 1995 to 1999. His expertise encompasses remote sensing, embedded systems, and proficiency in cloud computing across platforms such as AWS, Azure, and GCP.
Technical Skills and Training
Paul Barsic possesses advanced technical skills in parallel programming techniques, utilizing tools such as OpenMP, MPI, pthreads, CUDA, OpenGL, and GLSL. He has professional training in Deep Learning for Computer Vision with TensorFlow, provided by the Embedded Vision Alliance. Additionally, he has experience in designing and maintaining CI/CD pipelines using Jenkins and GitHub Actions.
Algorithm Development and Production Code Deployment
In his professional career, Paul Barsic has developed skills in algorithm development and production code deployment. His work focuses on creating efficient algorithms that enhance the performance of perception systems, ensuring reliable software solutions in various engineering applications.