Matteo has experience building platforms to automate data and machine-learning workflows as well as agentic workflows and applications that leverage LLMs. He has experience working with data processing and streaming technologies like Apache Spark, Apache Kafka, and Debezium; generative AI application development frameworks like LangGraph; and machine learning frameworks such as scikit-learn, PyTorch, and MLFlow. His interests include learning about distributed systems, software architecture, and computer science theory. Outside of the technical domain, Matteo is an avid surfer.