Summary
Fabrizio Sandri is a Machine Learning Engineer with a decade of experience applying AI to aerospace and commercial problems, currently advancing ML at SpazioDati after impactful roles at Airbus and ShopFully. He pioneered Retrieval Augmented Generation for spacecraft standards and performed time-series telemetry analysis to reveal critical satellite component correlations, acting as the AI focal point for a 65-person systems department. Fabrizio pairs production ML work—deploying VLM-based GenAI for large-scale flyer processing and SigLIP classification pipelines—with rigorous open-source engineering, having sped up non-deterministic fuzz testing and fixed numerous memory bugs in RcppDeepState integrations. Trained at Università di Trento, he blends academic data-science foundations with hands-on systems engineering across CI/CD, logging, and APIs. Notably, his Google Summer of Code contributions reduced CI setup time from 30+ minutes to under a minute, demonstrating a practical focus on developer productivity as well as model performance. He is based in Trentino-Alto Adige and brings a pragmatic, cross-disciplinary approach to turning complex requirements into reliable AI-driven solutions.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Master's degree at Università di Trento
Technical diploma, Technical diploma at Technical institute C. A. Pilati
English, Italian, German