Professional Overview
Data scientist (MSc Data Science for Economics, 110/110 cum laude, University of Milan) focused on the systematic evaluation of LLMs and on AI that supports expert judgement rather than replacing it. Designed an empirical comparison of two LLMs across 18 prompt configurations with counterfactual ablation, showing that more elaborate prompting can reduce accuracy and that models detect constraints yet misapply them. Brings eight years of expert practice as a patent analyst, judging the relevance and quality of technical text for Fortune 500 clients, plus hands-on experience evaluating a production chatbot and supporting a RAG-based Q&A system.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
