Michael Von Pohle
Senior Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMichael Von Pohle is a Senior Data Scientist at NASA Ames with eight years of experience building deep learning pipelines to estimate urban air pollution from high-resolution and hyperspectral satellite imagery. He has driven production-ready improvements—such as a 10x faster RAM caching system and expanded image processing support—that bridge research and operational needs. His background in electrical engineering and real-time systems (from leading Hyperloop control and networking efforts) gives him a rare blend of remote-sensing ML, large-scale data engineering, and embedded-systems thinking. Michael combines hands-on model development (UNET, transfer learning) with scientific communication, contributing to papers on PM2.5 and NO2 estimation, and often tackles the infrastructure challenges of terabyte-scale imagery on supercomputers. Based in San Francisco, he enjoys cross-pollinating earth science and data science in pragmatic, performance-focused ways.
8 years of coding experience
15 years of employment as a software developer
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at San José State UniversityBachelor of Science in Engineering, Electrical Engineering, Bachelor of Science in Engineering, Electrical Engineering at Walla Walla University
Github Skills (55)
cml10
satellite10
data-science9
python9
machine-learning9
dvc9
satellite-imagery9
imagery9
ai9
deep-learning9
unstructured-data9
data-models9
developer-tools9
version-control9
computer-vision8
Programming languages (7)
Github contributions (5)
mvonpohle/delta
Apr 2021 - Mar 2023
Deep Learning for Satellite Imagery
Contributions:85 pushes, 20 branches in 1 year 11 months
satellite-imagerynasa-ames-dsgdeep-learningsatelliteobject-detection
mvonpohle/NTP-Spoofing-Demo
Nov 2018 - Apr 2019
Contributions:18 commits in 5 months
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