Aodhan Sweeney-jaramillo
Data Engineer & Earth System Scientist
Seattle, Washington, United States
Summary
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Top SchoolAodhan Sweeney-jaramillo is a data engineer and Earth system scientist in Seattle who builds dependable, scalable pipelines for sub-seasonal to seasonal climate prediction at Planette.ai. With a PhD in Atmospheric Sciences from the University of Washington and an undergraduate background in physics, he blends rigorous physical intuition with machine learning and remote sensing to tease apart climate variability and stratosphere–troposphere coupling. His NASA FINESST–supported research produced multiple first-author papers in high-impact journals and practical convolutional neural network approaches that separate internal variability from forced trends. He has a track record of turning research code into usable tools—earlier visualization work earned recognition from Google Chrome Experiments and AGU—and now focuses on productionizing climate data ingestion and model-ready products. Colleagues describe him as someone who bridges academic rigor and production engineering, bringing eight years of experience to deliver operationally reliable climate data systems.
7 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Atmospheric Sciences: Data Sciences, 3.88/4.0, Doctor of Philosophy - PhD, Atmospheric Sciences: Data Sciences, 3.88/4.0 at University of WashingtonBachelor of Science - BS, Physics (Math minor), 3.67/4.0, Bachelor of Science - BS, Physics (Math minor), 3.67/4.0 at Florida State University
Github Skills (8)
siphon9
thredds9
unidata8
python7
netcdf7
n-layer7
cpp6
meteorology4
Programming languages (3)
Github contributions (5)
AodhanSweeney/n_layer_model
Feb 2021 - Dec 2024
a working N-layer radiative transfer model with some extra spizzazz
Contributions:3 PRs, 25 pushes, 1 branch in 3 years 10 months
n-layerradiative-transfer
AodhanSweeney/Storm-Climatologies
Jun 2018 - Jul 2019
Contributions:169 pushes, 1 branch in 1 year
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