Summary
Andrea Salvoni is a Senior Machine Learning Engineer based in Rome with 12 years in software and 8+ years focused on backend and production-scale ML systems. He has led R&D and AI teams to deploy deep learning pipelines for sentiment, emotion and interest detection, and currently builds feature computation pipelines for predictive models in insurance at Prima. His background spans analytics infrastructure, signal-processing algorithms for mobility services, and cloud-based big data ingestion, reflecting a blend of hands-on engineering and team leadership. Comfortable moving models from research to robust production, he’s delivered solutions across startup and enterprise settings including IoT predictive maintenance and large-scale social listening. Known for bridging data science and backend engineering, he often contributes pragmatic engineering tradeoffs that accelerate model deployment in real-world systems.
12 years of coding experience
6 years of employment as a software developer
Laurea Magistrale LM, Ingegneria Informatica, Laurea Magistrale LM, Ingegneria Informatica at Università degli studi Roma TRE
Italian, English