Chris Adderley

Technical Manager, AI Machine Learning at EarthDaily

Vancouver, British Columbia, Canada
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Summary

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Senior
🎓
Top School
Chris Adderley is a technical manager specializing in AI and machine learning with 12 years of experience building cloud-enabled solutions for aerospace, remote sensing, games, and public sector research. He combines hands-on engineering, systems design and product ownership—most recently leading cross-functional teams at EarthDaily and previously steering physics and parts systems for Kerbal Space Program 2. Chris has deep domain expertise in Earth observation and satellite ground systems, demonstrated by roles at MDA and UrtheCast where he architected scalable AWS processing pipelines and advanced calibration algorithms. He excels at translating complex, multidisciplinary stakeholder requirements into deliverable architectures and schedules, often inventing novel system concepts to meet tight budgets. With an MSc in Remote Sensing, a background in micrometeorology and computational geography, and AWS Solutions Architect certification, he blends rigorous scientific training with practical cloud engineering. Outside work he pursues computer graphics and game development, which informs his creative approach to systems and UX problems.
code12 years of coding experience
job8 years of employment as a software developer
bookMaster of Science (MSc) Geovisualization Thermal Remote Sensing, Master of Science (MSc) Geovisualization Thermal Remote Sensing at The University of British Columbia
languagesEnglish, French
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Github Skills (54)

minecraft10
mesh10
station10
rockets10
insar10
storage10
extraction10
metadata10
waterfall10
kerbal-space10
rocket10
orbital-mechanics10
cups10
heat10
marine10

Programming languages (6)

C#ShaderLabMathematicaRubyYAMLPython

Github contributions (5)

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Build and deploy scripts for PKMC mods
Contributions:2 releases, 3 PRs, 74 pushes in 5 years 4 months
modmods
Contributions:2 releases, 34 commits, 61 pushes in 7 months
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Chris Adderley - Technical Manager, AI Machine Learning at EarthDaily