Francisco Dorr is an AI consultant and machine learning researcher with 11 years of experience applying deep learning and computer vision to Earth Observation, remote sensing, and medical imaging. He has a strong research pedigree—multiple stints at Frontier Development Lab in partnership with NASA and ESA, NeurIPS 2024 presentations, and contributions to the M3LEO dataset—paired with production delivery of cloud-scale ML systems. As Lead Data Scientist at Satellites on Fire he built core wildfire detection and satellite super-resolution products, and he routinely designs MLOps pipelines on AWS/GCP for reliable, real-time geospatial analytics. His work spans SAR foundation models, multimodal embeddings, multi-frame super-resolution and clinical MRI pipelines, reflecting a rare blend of scientific rigor and product-focused engineering. He is committed to open research and reproducibility, having created tools like sat-extractor for large-scale EO data retrieval. Based in Argentina, he combines academic publications and competition wins with hands-on deployment experience to turn exploratory research into operational impact.
11 years of coding experience
10 years of employment as a software developer
Bachiller Humanidades, Humanidades/Estudios humanísticos, Bachiller Humanidades, Humanidades/Estudios humanísticos at Rudolf Steiner Schule
Licentiate degree, Computer Science, Licentiate degree, Computer Science at University of Buenos Aires
Contributions:1 release, 24 commits, 1 PR in 10 months
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