Jake Shermeyer
Senior Manager, Software Engineering (ML) at Planet
Washington DC-Baltimore Area United States
Summary
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Senior🎓
Top SchoolJake Shermeyer is a Senior Manager of Software Engineering (ML) with eight years of experience building computer vision, MLOps, and geospatial systems for satellite and SAR imagery. He has progressed from geospatial research at USGS and In-Q-Tel to applied ML leadership at Capella Space and Planet, bridging research-grade models with production analytics at scale. Jake combines deep domain expertise in remote sensing and time-series analysis with hands-on engineering of ML pipelines and deployment practices. He publishes technical writing and research, signaling a habit of distilling complex geospatial problems into reproducible solutions. Based in the Washington DC–Baltimore area, he brings both program-level leadership and practitioner-level coding chops to teams operating at the intersection of Earth observation and machine learning.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Geography, Bachelor of Science (B.S.), Geography at Penn State UniversityMaster of Science (MS), Geoinformatics & Geospatial Intelligence, Master of Science (MS), Geoinformatics & Geospatial Intelligence at George Mason University
Github Skills (30)
geospatial10
geo10
gis10
super-resolution9
python9
time-series9
aws9
random-forest9
machine-learning8
journal8
preprocessing8
machine-learning-algorithms7
few-shot-learning7
open-access7
creative-commons6
Programming languages (4)
Github contributions (5)
jshermeyer/VDSR4Geo
Oct 2018 - Mar 2019
TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks"
Contributions:21 commits, 20 pushes in 4 months
super-resolutiontensorflow
jshermeyer/RFSR
Oct 2018 - Oct 2019
Random Forest Super-Resolution (RFSR)
Contributions:29 commits, 23 pushes, 1 branch in 11 months
random-forestsuper-resolution
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