I believe the best technical solutions are the ones people actually understand and use.
I enjoy solving problems that sit at the intersection of business strategy and technology. Whether it's designing a supply chain network, building a machine learning model, or improving a data pipeline, I'm motivated by understanding how complex systems work — and finding practical ways to make them better. For me, the most rewarding projects are those that combine analytical depth with tangible business impact.
That mindset led me to study Industrial & Systems Engineering at Georgia Tech, where I also competed as an NCAA Division I tennis player. After graduating, I joined a supply chain consulting firm and later completed my M.S. in Analytics while working full-time. Continuing my education alongside client work gave me the opportunity to immediately apply new ideas in real-world settings — and reinforced the importance of staying curious in a field that's constantly evolving.
Today, my work focuses on helping organizations improve supply chain performance through data engineering, optimization, machine learning, and analytics. I'm especially interested in the next generation of AI-powered decision support and intelligent automation, and I'm actively exploring how these technologies can create practical value for businesses — not just interesting technical demonstrations.
Outside of work, I enjoy traveling, staying active, and learning something new whenever I can. As a dual U.S./Italian citizen, I appreciate opportunities to work across teams, industries, and cultures — and I'm always excited by projects that bring together different perspectives to solve challenging problems.