Summary
Federico Ferlito is a Full-Stack Geospatial Data Engineer with nine years of experience building ML-driven remote sensing and computer vision solutions for environmental and conservation projects. He blends hands-on expertise in satellite and drone imagery, LiDAR, and geospatial workflows with cloud-native ML deployment on GCP and Azure to deliver scalable carbon baseline and biodiversity monitoring tools. As a founder and senior engineer he has led cross-disciplinary teams to turn research-grade models into production dashboards and mobile apps that inform tree-planting and species identification efforts. His background in AI (MSc, University of Groningen) and early work in NLP and Android EO apps give him a rare mix of language, mobile, and geospatial skills. Based in Bilbao, he’s focused on practical, nature-based solutions and often experiments with integrating emerging tools like OpenAI into remote sensing pipelines.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at University of Groningen
Italian, English, Dutch, Spanish, Greek