Ben Sachs
Senior Software Engineer at Regrow Ag
Las Vegas, Nevada, United States
Summary
👤
Senior🎓
Top SchoolBen Sachs is a Senior Software Engineer with over a decade of experience building production-grade geospatial Python backends, data pipelines, and cloud-native APIs. He specializes in scaling satellite and UAV imagery workflows to feed machine learning models, combining expertise in GIS tooling (GDAL, RasterIO, PostGIS) with cloud platforms like Google Cloud and AWS. At Regrow Ag he helps productionize agricultural ML models, and his prior roles include leading GIS microservice development and cataloging systems at DigitalGlobe. Comfortable as both an individual contributor and sole backend architect, he has hands-on experience with orchestration tools (Argo, Kubernetes), event systems (Kafka), and CI/CD automation. Ben’s background in geography and environmental studies informs a pragmatic approach to building systems that turn large spatial datasets into actionable insights. He occasionally dabbles in other backend languages and data science, bringing a curiosity-driven, cross-disciplinary perspective to engineering challenges.
10 years of coding experience
8 years of employment as a software developer
MA, Geography (GIS), MA, Geography (GIS) at Appalachian State UniversityBA, Psychology, Environmental Studies, BA, Psychology, Environmental Studies at Wake Forest University
Github Skills (54)
deeplab10
aws-sdk9
batch-processing8
k8s8
image-segmentation8
keras8
sdk8
aws8
keras-tensorflow7
kubernetes7
dialect7
gdal7
machine-learning7
gitops7
segmentation7
Programming languages (3)
Github contributions (5)
sachsbl/segmental
Apr 2019 - Apr 2020
Dockerized Semantic Image Segmentation service using Tensorflow, Keras, and DeepLabv3+
Contributions:25 commits, 7 PRs, 26 pushes in 11 months
pythonsemantic-segmentationdeeplabdeeplab-v3-plusimage-segmentation
sachsbl/poky
Feb 2019 - Apr 2019
Contributions:16 commits, 10 pushes, 1 branch in 1 month
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