Summary
Giorgio Segalla is a Senior AI Engineer based in Madrid with eight years of experience building and deploying production-grade ML and data engineering solutions. He bridges research and operations, having optimized large-scale credit recovery pipelines (processing portfolios over €400M) and cut scoring runtimes from hours to minutes. Skilled across PyTorch, TensorFlow, XGBoost, Spark, Airflow and MLOps tooling like FastAPI and Docker, he focuses on cost-efficient, scalable LLM and AI deployments. At Gilat Satellite Networks he applies this expertise to communication systems, bringing domain-aware AI into complex infrastructure. His background includes hands-on research (YOLOv5 for assistive vision) and end-to-end pipeline ownership, so he’s as comfortable tuning models as he is shipping monitored production loops. Colleagues know him for turning resource-constrained problems into pragmatic, business-impacting AI solutions.
8 years of coding experience
4 years of employment as a software developer
Computer Science, Data Science, Computer Science, Data Science at EIT Digital Alumni
Master's degree, Data Science, Master's degree, Data Science at Eötvös Loránd University
Informatics, 104/110, Informatics, 104/110 at Università degli Studi di Trento
Master's degree, Data Science, Master's degree, Data Science at Universidad Politécnica de Madrid
Italian, Spanish, English