Summary
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.
12 years of coding experience
8 years of employment as a software developer
Master of Science (MSc) Geovisualization Thermal Remote Sensing, Master of Science (MSc) Geovisualization Thermal Remote Sensing at The University of British Columbia
English, French