Summary
Henry Rodman is a Cloud Engineer with a decade of experience building scalable geospatial compute pipelines, currently at Development Seed. He combines domain expertise in forestry and forest biometrics (M.S., Oregon State) with practical skills in Python and R to process remote sensing and soil/topographic data for forest productivity and carbon accounting. His toolkit spans xarray, rasterio, shapely, STAC, PostGIS, Docker, and cloud platforms like AWS and Azure, with CI/CD via GitHub Actions. Previously he built core data pipelines at NCX and applied statistical forest growth models in both industry and academia, bridging ecological insight with production-grade engineering. Based in Duluth, he maintains a technical portfolio that showcases reproducible workflows and an interest in efficient representation of site-level soil and topographic characteristics. Colleagues value his ability to translate complex ecological research into reliable, automated cloud workflows that power decision-making for forest management and carbon projects.
10 years of coding experience
5 years of employment as a software developer
Master of Science (M.S.), Forest biometrics, Master of Science (M.S.), Forest biometrics at Oregon State University
University of Minnesota Twin Cities
Spanish