Olivier D'hondt is a SAR and Earth Observation specialist with over a decade of hands-on experience building Python-based geospatial toolchains and machine learning solutions for satellite data. He holds a PhD in Signal Processing and has driven research-to-production work—from tomographic SAR deep learning at TU Berlin to operational volcano and flood monitoring platforms. As a freelancer he authored EO-Tools and other open-source SAR utilities, led adoption of Apache Airflow for global automation, and routinely combines Dask, GDAL and physics-aware ML to scale processing of Sentinel and DEM products. He uniquely blends deep academic expertise in speckle modeling and tomographic reconstruction with pragmatic engineering for commercial EO applications.
12 years of coding experience
19 years of employment as a software developer
Ph.D. Signal Processing and Communications., Ph.D. Signal Processing and Communications. at Université de Rennes I
Contributions:37 commits, 34 pushes, 1 branch in 2 years 5 months
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