Summary
Fernando Tentor is a Geographic Information System specialist and data scientist with eight years of experience combining remote sensing, Python backend development, and AWS cloud services to turn satellite imagery into production-grade geospatial databases and APIs. He has built and maintained backend microservices, PostGIS-enabled data pipelines, and Earth Observation workflows using tools like Google Earth Engine, Rasterio, and boto3, often deploying on Lambda, ECS/Fargate and RDS. His work spans AgTech, carbon MRV platforms, and academic research, bridging field-driven agricultural engineering with scalable geoinformation systems. Fernando’s background as a university lab director and professor informs a research-minded approach to reproducible pipelines and geospatial modeling. Based in Argentina, he pairs hands-on coding with domain expertise in Sentinel, Landsat, SAR sensors and soil carbon monitoring—skills that make him effective at translating complex EO datasets into actionable products. Notably, he frequently integrates remote sensing algorithms directly into backend services, reducing the gap between analysis and deployment.
8 years of coding experience
23 years of employment as a software developer
Msc. Geomatic Remote Sensing & Geographic Information System, Msc. Geomatic Remote Sensing & Geographic Information System at Universidad Autónoma de Entre Ríos
Agricultural Engineer Agronomia, Agricultural Engineer Agronomia at Universidad Nacional de Entre Ríos
Especialista en Teledetección y Sistemas de Información Geográfica Teledetección y SIG, Especialista en Teledetección y Sistemas de Información Geográfica Teledetección y SIG at Universidad Nacional de Luján