I help companies turn data into measurable growth with cloud platforms, LangGraph agent workflows, and practical AI copilots. Review my leadership experience, explore Data & AI projects, or contact me for collaboration. Based in Turin, Italy and open to remote and international projects.
About
An engineering professional with deep experience bridging complex data infrastructures and high-impact business outcomes. I lead cross-functional teams building advanced analytics, AI copilots, and cloud-native data platforms.
My work spans software engineering, machine learning, and cloud architecture across GCP, Azure, and AWS — designing scalable decoupled environments and orchestrating AI agent systems with multiple graph architectures and LLMs. Explore my cloud and AI technology stack and recent Data leadership roles.
Experience
Leading data science and AI teams to develop products that enhance operational efficiency and customer experience. Overseeing AI-based payment reconciliation, natural-language copilots, and advanced analytics platforms.
Architecting solutions with Microsoft Azure, Terraform, Apache Airflow, PowerBI, and Azure OpenAI LLMs.
Envisioning and executing data strategies for informed decision-making. Designed end-to-end data infrastructure on Google Cloud Platform managed through Terraform and Apache Airflow.
Governing analytics through Looker and enriching products with LLM-powered agent capabilities.
Architected a custom data lake for real-time click-stream events processing 2–3 GB/hour. Built decoupled environments across prod, QA, and dev using Terraform and AWS services including Kinesis, Glue, and Athena.
Lead developer for Big Data architectures merging APIs, scraped data, and CRMs. Deployed ML techniques — forecasting, clustering, NLP — for clients including Allianz, Bulgari, Mediaset, and Johnson & Johnson.
Open Source
Python package for document conversion and text extraction — Office to PDF, multi-backend PDF parsing, text from images, audio/video, URLs, and YouTube transcripts.
Chrome extension for debugging tag managers (GTM, Tealium, Commanders Act) and common tags like GA4, Floodlight, and Adobe Analytics.
Python utilities simplifying Google API connections — wrappers for BigQuery, Analytics, Drive, Search Console, Sheets, and Storage.
Simplify MongoDB connections through SSH tunnels — establishes the tunnel and exposes the URI as local.
Connect to any SQLAlchemy-supported database securely through an SSH tunnel.
Fork of Facebook Research fastText — efficient learning of word representations and sentence classification for NLP.
Expertise
Education
Dipartimento di Ingegneria Enzo Ferrari, Modena
Thesis on Visual Analytics for Web Analytics and SEO. Score: 107/110. Licensed professional engineer.
British Council
Listening 6.5 · Reading 8.5 · Writing 6.0 · Speaking 6.5