Summary
Gioele Monopoli is a Digitalization Manager and machine learning engineer with eight years of experience applying AI to real-world problems across finance, transportation, and sustainability. He combines a strong academic pedigree from EPFL and the University of Zurich with hands-on production experience building RAG pipelines, Azure OpenAI integrations, and automated email-triage systems for Swiss clients. Gioele has bridged research and industry at institutions like DLR and Huawei, fine-tuning vision-language and multimodal models and implementing explainability for weather nowcasting and railway monitoring. Currently he leads digital transformation and AI strategy for a major Swiss wealth-management holding while also steering AI features in a CBAM reporting platform. Comfortable moving between code, research, and product, he’s known for translating cutting-edge ML into deployable systems and for tackling messy, unstructured data end-to-end. Fluent in multinational contexts (Switzerland, EU, USA, Mexico), he pairs technical depth with pragmatic delivery.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Zurich
Swiss Matura Economics, Swiss Matura Economics at Liceo Diocesano - Collegio Pio XII
Master's degree Data Science, Master's degree Data Science at EPFL
Italian, German, English