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