Fernando Paolo

Senior Machine Learning Engineer at Global Fishing Watch

Pasadena, California, United States
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Summary

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Senior
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Top School
Fernando Paolo is a Senior Machine Learning Engineer with 15 years of experience applying ML and high-performance computing to remote sensing and Earth science problems. Based in Pasadena, he builds scalable algorithms and cloud-native workflows to analyze petabytes of satellite SAR and altimetry data, driving projects like next-generation global vessel detection and continent-scale ice-shelf change records. His background spans research roles at JPL and Scripps and a PhD in Geophysics from UC San Diego, combining rigorous scientific inquiry with production-grade software engineering. He excels at fusing multi-sensor satellite observations with deep learning to reveal subtle climate and human impacts—work that has led to novel large-scale data products and peer-reviewed discoveries. Notably, he has implemented terabyte-to-petabyte parallel processing pipelines on supercomputers and cloud infrastructure, turning complex geophysical questions into operational ML systems.
code15 years of coding experience
job16 years of employment as a software developer
bookUniversity of California San Diego
bookUniversity of São Paulo
languagesEnglish, Portuguese, Spanish
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41reputation
369reached
0answers
1question
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Github Skills (55)

toolbox10
os-agnostic10
ecosystem9
package-management9
python9
linux9
conda9
package-manager8
tabular8
datasets8
confidence-interval8
netcdf8
dask7
static-site7
pandas7

Programming languages (7)

TypeScriptJuliaCSSHTMLJupyter NotebookPythonMatlab

Github contributions (5)

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fspaolo/cv

Jun 2015 - Aug 2019

Contributions:67 pushes in 4 years 2 months
fspaolo/tmdtoolbox

Oct 2017 - Oct 2020

Contributions:34 commits, 33 pushes, 1 branch in 3 years
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