Nathan Holeman

Software Engineer, Site Reliability at Google

San Francisco, California, United States
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Summary

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Rockstar
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Top School
Nathan 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.
code8 years of coding experience
job3 years of employment as a software developer
bookBachelor of Arts - BA, Philosophy and Computer Science, Bachelor of Arts - BA, Philosophy and Computer Science at Swarthmore College
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Github Skills (10)

geospatial10
classification10
machine-learning9
deep-learning9
semantic-segmentation9
object-detection9
pytorch9
computer-vision9
backend2
raster1

Programming languages (1)

Python

Github contributions (4)

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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
backendraster
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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