I help organizations turn heterogeneous data into reliable knowledge and AI applications. My background is in semantic technologies and stream processing; today I work on Knowledge Graphs, enterprise generative AI, and machine learning at the edge. I lead Quantia Consulting, where we build data platforms and AI solutions and design data and AI training programs, and I co-founded Motus ml, a Politecnico di Milano spin-off bringing streaming machine learning to industrial devices. I also lead data-integration work in European and regional research projects.

What I work on

Knowledge Graphs & Semantic Data Integration

Making heterogeneous data connected, queryable and FAIR — from research-project toolkits to enterprise data platforms.

Projects

Enterprise Generative AI

RAG systems and AI assistants running on private infrastructure, built for regulated industrial domains.

Projects

Edge & Industrial AI

Streaming machine learning that learns one data point at a time on constrained devices, for predictive maintenance and quality.

Projects

Data & AI Training

Data and AI programs for companies and professionals, from data foundations to AI project management.

Teaching

Now

Last updated: October 2026

  • Leading data enrichment, integration and dashboard work (WP7) in the Horizon Europe project TRIAD.
  • Coordinating data work in AIS4UM, AI safety for smart urban mobility (Regione Lombardia).
  • Bringing generative and edge AI into aerospace quality and qualification processes with Motus ml.
  • Delivering a new season of corporate data & AI programs.