Oliver Lopez is a Database Specialist and geospatial data scientist with 10 years of experience turning remote-sensing research into operational tools and data products. He has led national-scale water accounting and farm-level groundwater abstraction projects using Landsat, Sentinel-2, WRF/ERA5 and land surface models, and he built a Python package (geeet) that leverages Google Earth Engine for evapotranspiration modeling. At KAUST he blends database engineering, monitoring and visualization to make research-ready pipelines that inform government water management and restoration programs. Comfortable moving between research and production, he focuses on scalable, reproducible workflows that automate satellite-to-insight delivery. Based in Saudi Arabia, he combines physics and environmental engineering training with hands-on open-source development to solve applied water-resource and conservation challenges.
10 years of coding experience
2 years of employment as a software developer
Master of Science (M.Sc.) Environmental Science and Engineering, Master of Science (M.Sc.) Environmental Science and Engineering at KAUST (King Abdullah University of Science and Technology)
B.S. Engineering Physics, B.S. Engineering Physics at Tecnológico de Monterrey
Exchange Program Mechanical Engineering, Exchange Program Mechanical Engineering at École Polytechnique
Contributions:1 PR, 45 pushes, 2 branches in 8 years 5 months
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