Ben Sachs
About Ben Sachs
Ben Sachs is a Senior Software Engineer at Regrow Ag, specializing in geospatial Python backend development and working closely with Machine Learning engineers and Data Scientists.
Current Role at Regrow Ag
Ben Sachs is currently employed as a Senior Software Engineer at Regrow Ag, a role he has held since 2021. In this position, he specializes in geospatial Python backend development. His work involves designing and building data pipelines, web services, and distributed workflows. He collaborates closely with Machine Learning engineers and Data Scientists to productionize agricultural models and generate data at scale. The primary technologies he employs include Python, Google Cloud, and various GIS tools.
Previous Work Experience
Before his current role, Ben Sachs served as a Software Engineer (Analytics Developer) at Colaberry from 2019 to 2021. Prior to Colaberry, he was a Backend Software Engineer at Paintly, LLC for a brief period from 2018 to 2019. His earlier experience includes a position as a Senior Geospatial Software Engineer at DigitalGlobe in Thornton, CO, from 2016 to 2018, and as a Staff Software Engineer at DigitalGlobe in Westminster from 2013 to 2016. Ben also worked at GeoEye as a Photogrammetric Systems Specialist from 2010 to 2013.
Educational Background
Ben Sachs holds a Master of Arts degree in Geography (GIS) from Appalachian State University, where he studied from 2008 to 2010. Before that, he earned a Bachelor of Arts degree in Psychology and Environmental Studies from Wake Forest University between 2003 and 2007. During his academic career, he gained experience as a Teaching Assistant at Appalachian State University and as a GIS Intern at Watauga County TDA in 2009.
Technical Skills and Specializations
Specializing in geospatial Python backend development, Ben Sachs focuses on creating data pipelines, web services, and distributed workflows. He has experience working with Machine Learning engineers and Data Scientists to scale agricultural models. Ben utilizes Python, Google Cloud, and various GIS tools in his projects. Although Python remains his primary focus, he occasionally explores other back-end languages and data science.