Summary
Marco Di Francesco is a data engineer and machine learning practitioner with 8 years of experience building predictive AI solutions, currently focused on data engineering at FORFIRM in Switzerland. He combines academic rigour from a Master in Data Science at Aalto with hands-on applied work—shipping computer vision models for weather forecasting and medical imaging at FBK and deploying production alerts on Azure. Notably, during an ABB thesis project he ported a streaming ML pipeline from Python to Rust, cutting execution time by 86% and shrinking memory to 20MB to handle 80,000 records/sec in a TinyML robotics context. Comfortable across the ML lifecycle, he bridges model development, optimization and deployment, and frequently collaborates with cross-functional stakeholders to bring research-grade models into production.
8 years of coding experience
3 years of employment as a software developer
Master in Data Science, Master in Data Science at Aalto University
Bachelor in Computer Science, Bachelor in Computer Science at Università di Trento
Information Technology, Information Technology at Enrico Fermi High School
English, Italian, Spanish