Nathan Holeman
Software Engineer, Site Reliability at Google
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNathan Holeman is a software engineer specializing in site reliability with seven years of experience building and maintaining production systems across data-driven and policy tech companies. He currently works on SRE at Google after contributing to backend and data efforts at FiscalNote and ConsumerAffairs, blending operational rigor with a data-science mindset. Comfortable moving between code, monitoring, and incident response, he focuses on reliability at scale and pragmatic automation to reduce toil. His academic background in both philosophy and computer science gives him a clear, analytical approach to tradeoffs and system design. Based in San Francisco, he brings a track record of shipping dependable services in fast-moving environments and an interest in open source and civic tech from earlier fellowships. Colleagues would describe him as a thoughtful problem-solver who translates complex requirements into maintainable, observable systems.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Philosophy and Computer Science, Bachelor of Arts - BA, Philosophy and Computer Science at Swarthmore College
Github Skills (14)
semantic-segmentation10
computer-vision10
satellite10
geospatial10
imagery10
classification10
machine-learning9
object-detection9
pytorch9
deep-learning8
backend2
legend2
raster1
machine-vision1
Programming languages (1)
Github contributions (4)
azavea/raster-vision-backend-plugin
Oct 2018 - Dec 2018
An example of adding a new backend to Raster Vision via a plugin https://github.com/azavea/raster-vision
Contributions:5 PRs, 20 pushes, 3 branches in 1 month
visionrastercomputer-visionbackendmachine-vision
nholeman/raster-vision
Sep 2018 - Sep 2018
deep learning for aerial/satellite imagery
Contributions:14 pushes, 2 branches in 3 days
satellite-imagerydeep-learningsatelliteunet-image-segmentationobject-detection
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