Massimo

Led the global expansion of EPAM's Data & AI practice, specializing in Artificial Intelligence, Generative AI, agentic AI, and cloud platforms. Defined strategic direction and best practices, led client engagements from a technical perspective, and coordinated the delivery of enterprise AI programs across banking, government, logistics, consumer goods, biopharma, chemicals, telecom, energy, and industrials. Drove pre-sales impact, established the AI Factory and governance patterns, and orchestrated multi-LLM deployments and modular GenAI components to accelerate ROI. Coordinated a global EPAM team contributions to secure preferred vendor status by presenting a robust enterprise GenAI vision.

Managed high-performing teams of data scientists, PhD students, contractors, and cloud developers across commercial and R&D settings, delivering projects with €70M+ value. Led global AI research initiatives, established the Digital Hub (cost savings of €650k/year), and pioneered AI-driven predictive maintenance, lab automation, and NLP/IR efforts. Drove AI/ML capabilities, including Generative AI (LangChain, LangGraph) and MLOps, aligning with corporate transformation aims and governance.

Founded and led the Department of Data Science & Reporting, delivering predictive analytics models and real-time BI dashboards. Implemented data governance and ETL pipelines (Python) with Azure SQL, driving revenue growth (over 561%).