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I’ve always been fascinated by how things that look impossibly complex turn simple once you learn to decompose them. That curiosity led me to co-author software that runs inside 3 million apps. I spent seven years at Amazon building platforms that serve hundreds of millions of users and shipping an agentic AI shopping experience. In 2017, I argued to Intel audiences that automation would evolve from basic workflows to autonomous execution with human supervision.
I’ve been writing code since I was 12. I built iOS developer tools, then industrial monitoring systems for a Siemens automation partner, then mobile apps for fashion brands, then machine learning pipelines for insurance companies. Not because I couldn’t pick a lane, but because every time I hit a layer I didn’t understand, I wanted to take it apart and see how it connected to everything else.
The thread that runs through all of it is AI. I took the Stanford Machine Learning class taught by Andrew Ng in 2011, back before deep learning had its breakthrough moment. A few years later, Andrej Karpathy published a blog post on recurrent neural networks that made the potential click for me in a way that academic papers hadn’t. These were the people and ideas that made me realize this technology was going to reshape how work gets done, and sooner than most people expected. By 2016 I was writing about automated workflows that only escalate to humans when something breaks the pattern. That’s essentially the architecture Intarsia uses today, nine years later.
I started building Intarsia in 2025. AI automation for SMB back-office operations, designed for non-technical operators. How do you take what used to require expensive enterprise systems and put it in the hands of a 20-person operations team?
CocoaPods. I co-authored this in 2012 because I wanted a better way to build iOS apps. An open-source community formed around it, eventually outgrew me as the original author, and is still going. Amazon, Google, Facebook, Uber, Slack all use it. Today it powers over 3 million apps and 100,000+ libraries.
Discontinuity. I founded and ran a profitable software consultancy in Northern Italy for eight years. This is where I learned how small and medium businesses actually work. We partnered with Honeywell on IoT projects, built the mobile experience for Gucci, developed machine learning tools for insurance companies, and built an industrial control system (SCADA) with a Siemens automation partner that still runs today.
Amazon. After eight years at the SMB scale, I realized I had no understanding of how any of this works inside a large organization. I spent seven years there as a Senior Software Engineer and Tech Lead, first at AWS and then at Amazon Shopping. What fascinated me most was discovering that at a certain scale, the hardest problems stop being technical and become organizational.
Background. MSc in International Management from Bocconi University in Milan (110/110, the maximum grade). CEMS MIM exchange at Aalto University in Helsinki. English, Italian, Spanish. Based in the Seattle area. See the full timeline for the longer version.