Kilian Vos is a Senior Earth Observation Developer with 10 years’ experience applying remote sensing, machine learning and full-stack engineering to coastal and water resource problems across academia, government and industry. He holds a PhD from UNSW and an MSc from EPFL, and has led development of production-ready satellite processing pipelines, cloud-deployed workflows and web-GIS services for near-real-time water monitoring and coastal hazard mapping. Kilian is a core contributor to CoastSat, a widely used open-source global shoreline mapping tool, and has benchmarked shoreline algorithms to inform national coastal assessments. Equally comfortable in Python, Google Earth Engine and cloud infrastructure, he combines rigorous research (Scientia PhD scholarship) with hands-on delivery for ESA/EU and public-sector programmes. Notably, his background spans anomaly-detection and RL projects in defence contexts as well as UAV-based geomatics, reflecting a rare mix of signal-processing, ML and operational geospatial engineering.
10 years of coding experience
3 years of employment as a software developer
Master of Science (M.Sc.), Environmental Engineering, 5.5/6, Master of Science (M.Sc.), Environmental Engineering, 5.5/6 at Ecole polytechnique fédérale de Lausanne
Global shoreline mapping tool from satellite imagery
Role in this project:
Back-end Developer & Data Scientist
Contributions:22 releases, 6 reviews, 291 commits in 4 years 3 months
Contributions summary:Kilian primarily contributed to the development of a shoreline mapping tool, likely involving processing satellite imagery. They worked on core functionalities like downloading, preprocessing, and classifying images. The user also implemented and updated image classification algorithms. Their work appears to encompass both back-end development for image processing and data science tasks.
Contributions:3 releases, 23 commits, 18 pushes in 1 year 8 months
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