Timothy Iles is a Senior Machine Learning Engineer with eight years focused on Earth Observation, currently driving ML work at Overstory after progressing from geospatial data engineering and research roles. He builds end-to-end SAR, optical and hyperspectral processing chains for classification, segmentation and deformation mapping, and has production experience with DSM generation and SAVANT pipeline maintenance. A self-taught Python and ML practitioner, he pairs practical engineering with a rigorous habit of reading the latest literature and testing ideas in hackathons. His background spans academic crop-classification work with Landsat and hands-on Sentinel-based projects, giving him both research grounding and operational delivery experience. Based in Skövde, Sweden, he combines domain depth in SAR and multispectral analysis with a demonstrated ability to move algorithms into usable geospatial products.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Geology/Earth Science General, Bachelor of Science - BS Geology/Earth Science General at The University of Waikato
Contributions:1 release, 1 review, 2 PRs in 1 year 10 months
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Timothy Iles - Senior Machine Learning Engineer at Overstory