I'm Fabio, a technical founder and product leader based in San Francisco. I built ByteNite from the ground up: a serverless AI compute platform that raised $1.2M, and turned GPU scheduling headaches into a clean developer experience. My background is in mathematics, but what drives me is making complex systems genuinely simple to use.
From zero-to-one product strategy to technical leadership: here's how I think and what I build.
End-to-end product ownership, developer experience design, and data-driven roadmapping — from raw concept to production in days.
ExploreServerless platforms, GPU optimization, distributed job scheduling, and AI inference — built and shipped at production scale.
ExploreBuilt a company from a blank document: idea, product, fundraising ($1.2M), sales & marketing, and a team, all as a solo founder.
ExploreA foundation in mathematics and data science applied to product analytics, cost modeling, and ML-backed system optimization.
ExploreFull go-to-market playbooks — developer research, content, PLG onboarding, and technical sales — generating early traction and measurable growth.
ExploreCross-functional team management, investor communication, and bridging deep technical work with clear business narratives.
ExploreI grew up in Milan, Italy with two seemingly unrelated obsessions: mathematics and the piano. I pursued both seriously. A BSc in mathematics then an MSc in data science, alongside fifteen years of classical piano training and performance. What I didn't realize at the time was that both were teaching me the same thing: how to break a complex system into its essential parts, and how to make something technically demanding feel natural.
That instinct brought me to San Francisco in 2022, where I founded ByteNite, a cloud infrastructure company built around the idea that powerful AI compute shouldn't require a PhD to configure. We went through Techstars, raised $1.2M, filed a patent, and I spent three years learning what it really means to build from zero: the product, the team, the go-to-market, and everything in between.
I work best at the intersection of technical depth and human clarity. The most elegant products aren't the ones with the most features: they're the ones where every complexity has been absorbed so the user doesn't have to think about it.
I'm exploring Product Management and Data Science roles in San Francisco, Austin, and New York. If something here resonates, I'd love to hear from you.