Ian Davies
Software Engineer at Planet
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolIan Davies is a software engineer and geospatial scientist with 8 years of experience turning remote sensing and spatial data into actionable insights for climate risk, flood prediction, wildfire vulnerability, and sustainable food systems. Currently at Planet, he builds production-ready geospatial pipelines and models, having previously developed validation methods and ML experiments for global disaster datasets at Jupiter Intelligence. Comfortable across Python, R, JavaScript, and Google Earth Engine, he bridges research and product by harmonizing global DEMs, automating ecohydrological models, and delivering rapid satellite-based flood mapping for aid organizations. Seattle-based and trained at UCLA and the University of Washington, he pairs domain expertise in environmental science with practical engineering chops—and once built an R package to georeference traffic images from the Bing Maps API, a hint at his knack for creative, reproducible tooling.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Environmental and Forestry Sciences, Master of Science - MS, Environmental and Forestry Sciences at University of WashingtonUniversity of California, Los Angeles
Spanish
Github Skills (39)
jupyter9
python9
jupyterlab9
machine-learning9
jupyterlab-extension9
deep-learning8
tensorflow8
jupyter-widget8
data-science7
neural-network7
dropout6
arxiv5
deep-neural-networks5
ml5
geoscience4
Programming languages (4)
Github contributions (5)
ianpdavies/cloudy_flood_prediction
Sep 2018 - Dec 2020
Contributions:431 commits, 229 pushes in 2 years 3 months
ianpdavies/PNW_VELMA
Oct 2020 - May 2021
Contributions:46 pushes, 1 branch in 6 months
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