Irene Burresi
AI Team Leader
Data Scientist with solid experience in developing and deploying Generative AI solutions, Data Extraction, Hybrid RAG, and advanced Chatbots. I translate business needs into innovative technological solutions with an agile, business-oriented approach.
Vision
Make artificial intelligence accessible and useful for businesses of all sizes, transforming technological complexity into tangible business value.
Mission
Create AI solutions that solve real problems, combining scientific research, engineering best practices, and a deep understanding of business needs.
Work Philosophy
From code to strategy
AI has value only if it solves real problems. I always start from the business case, not the technology.
Measure, always
No "AI magic". Every project has KPIs defined before kickoff, not after.
Iterate fast
MVP in weeks, not months. Failing early costs less than failing late.
Grow together
A team's success is measured by people's growth, not just projects.
What I Write About
This blog explores artificial intelligence from multiple perspectives: technical implementation, scientific research, economic impact, and governance.
I focus on actionable content: implementation guides, paper analysis, decision frameworks, and real case studies. Each article is designed to be useful both for implementers and decision-makers.
Skills
AI & Machine Learning
Cloud & Infrastructure
Development
Leadership & Methodology
Experience
Lead AI Professional
Value Partners S.p.A.
- Design and implementation of advanced AI solutions for clients in legal, medical, and insurance sectors
- Development and optimization of Data Extraction (OCR, NLP) and hybrid RAG pipelines
- Team management with organizational and leadership responsibilities
- WBS definition coordination, technical interview management, and mentoring
Data Scientist & AI Engineer
Value Partners S.p.A.
- Development of AI solutions for automatic data extraction from complex documents
- Design and implementation of advanced chatbots with Azure AI and Google VertexAI
- Optimization and monitoring of ML/LLM models with dedicated reporting
- Creation of automated workflows combining GenAI and ML
Data Science Intern
Value Partners S.p.A.
Curricular Intern
Value Partners S.p.A.
Education
Bachelor's Degree in Computer Science
University of Pisa
April 2023
Thesis: Study, Application and Comparison of Different Methodologies for Data Extraction in NLP Projects
Certifications
Data Science
Udemy
Deep Learning
Coursera
Latest Articles
View all
The AI Act Is Not (Just) Compliance: It's Industrial Policy
74% of EU listed companies use American email providers. 89% of German enterprises consider themselves technologically dependent. The AI Act should be read through this lens—as a competitive lever, not a checklist.
Constitutional AI: A Guide for Claude Users
Claude alternates between absurd refusals and risky responses. Constitutional AI shows how to manage overrefusal, sycophancy, and linguistic vulnerabilities in deployments.
AI 2026: Why Stanford Talks About a Reckoning
42% of companies have already closed AI projects: Stanford HAI predicts that 2026 will reward only those who demonstrate measurable ROI, reliable vendors, and transparent metrics.
Let's Stay Connected
Want to discuss AI, technology, or exchange ideas? I'm always interested in connecting with industry professionals and sharing experiences.