Open to Product Manager roles · SF · Austin · NYC

I make hard infrastructure
feel effortless.

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 understand and use.

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$1.2M Raised
Top 1% Techstars SF
30/30 MSc GPA
4+ yrs Founding
Fabio Caironi
Fabio Caironi Product Manager

Featured in & affiliated with

Areas of Expertise

Where I create the most impact

From zero-to-one product strategy to technical leadership: here's how I think and what I build.

Product Management

End-to-end product ownership, developer experience design, and data-driven roadmapping. From raw concept to production in days.

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AI & Cloud Infrastructure

Serverless platforms, GPU optimization, distributed job scheduling, and AI inference, built and shipped at production scale.

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Technical Leadership

Cross-functional team management, investor communication, and bridging deep technical work with clear business narratives.

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GTM & Growth Strategy

Full go-to-market playbooks: developer research, content, PLG onboarding, and technical sales, generating early traction and measurable growth.

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Design & Media

End-to-end design across product UI, brand, illustration, and motion. From Figma component systems to launch videos and pitch decks.

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Founding & Startups

Built a company from a blank document: idea, product, fundraising ($1.2M), sales & marketing, and a team, all as a solo founder.

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Education

Foundations

Six years of mathematics and data science at Università degli Studi di Milano. The training that taught me how to break a problem down and rebuild it from first principles.

MSc · GPA 30/30

MSc in Data Science & Economics, Università degli Studi di Milano

I attended a Master's degree course in Data Science and Economics, scoring a perfect GPA of 30/30. Dropped out before the thesis to pursue my startup. Coursework covered Machine Learning, Statistical Learning, Econometrics, and Programming. Capstone project: "Decomposing and Clustering the EU Business Economy", applying dimensionality reduction and unsupervised clustering to large-scale macroeconomic datasets to identify structural patterns across industries.

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BSc · Scholarship Recipient

BSc in Mathematics, Università degli Studi di Milano

Undergraduate degree in Mathematics (GPA: 108/110) and a merit scholarship. This three-year degree (one of the University's hardest, with a 60% dropout rate) was a crucible for rigorous thinking and problem-solving. With a focus on deep theoretical foundations (Algebra, Calculus, Geometry) and applied subjects (Combinatorics, Physics, Optimization), it trained a way of thinking I rely on every day: start from a hypothesis and apply rigorous logic until it either collapses or brings you to a surprising insight. Keep your findings, and iterate.

Experience & Projects

What I've built

Four years of company-building, plus the side projects I keep coming back to. The work that best shows how I think when given a blank page.

Founder & CEO · 2021 – Present

ByteNite: Serverless AI Compute Platform

I founded ByteNite in 2021: a serverless compute platform that turns GPU infrastructure into a clean developer experience for AI inference, web scraping, and video workloads. Over four years I raised $1.2M, joined Techstars San Francisco (Fall 2024, top <1% of applicants), filed a US/EU patent on high-throughput distributed computing, and grew it from a blank document into a production system with paying customers.

As technical founder I owned the full stack: product (API, SDK, CLI), engineering direction, GTM, hiring, and investor communication. The job was turning hard infrastructure into something developers could actually use without a PhD.

Personal Project · 2026

Feeder: AI News Aggregator

Feeder is a personal project I built solo in 2026: an AI news aggregator that scrapes, ranks, and summarizes articles end-to-end. It has three parts working together: an intelligent web scraper that pairs a QWEN-3 planner with cached DSL replays for stable extraction, a BGE-embedding recommender with implicit feedback signals, topic preferences, and MMR diversification, and a vLLM-served Qwen-3.6-35B summarizer using xgrammar for reliable structured outputs.

I architected, prototyped, and shipped the whole thing with Claude Code and the gstack toolchain, making the trade-off calls myself: agent planning vs. cached replays for extraction, relevance vs. diversity for retrieval, and structured-output reliability under model variance. I also built a customer-level unit-economics model (CAC by channel, per-user gross margin, payback period) to think through what a monetizable version would look like.

Research · Publication · 2020

disCOVIDer19: COVID-19 Data Analysis App and Paper

In 2020, I co-authored an independent research project combining an app and scientific paper to provide data-driven insights into the COVID-19 pandemic. The project, titled "disCOVIDer19 - A path-guide inside the COVID-19 pandemia", analyzed epidemiological datasets and built visualizations to help users understand transmission patterns and regional dynamics. The project was recognized by the Italian Society of Statistics (SIS).

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Tools & Stack

Tools I work with

A cross-functional stack spanning engineering, cloud infrastructure, design, creative production, and go-to-market execution.

Programming & Data
Python Python
SQL SQL
Jupyter Jupyter
Metabase Metabase
Cloud & Infrastructure
Google Cloud Google Cloud
AWS AWS
Cloudflare Cloudflare
Docker Docker
Kubernetes Kubernetes
Design & Creative
Figma Figma
Adobe Photoshop Photoshop
Adobe Illustrator Illustrator
Adobe Premiere Pro Premiere Pro
Adobe After Effects After Effects
Webflow Webflow
Sales & Growth
HubSpot HubSpot
Apollo Apollo
Productivity & Automation
ClickUp ClickUp
n8n n8n
About Me

Mathematician, builder,
reluctant pianist.

I 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.

28 years old, Italian-made Born and raised in Milan. Building in San Francisco since 2022. Fluent English.
Hiking & the outdoors Happiest on a trail. Nature is where I unplug, think clearly, and reset.
Omnivorous music taste Classical piano to indie electronic, jazz to rock.
Fabio sailing near the Golden Gate Bridge, San Francisco
Fabio performing classical piano
Fabio at the blackboard, University of Milan
Let's talk

Open to the right
opportunity.

I'm exploring Product Manager roles in San Francisco Bay Area, Austin, and New York. If something here resonates, I'd love to hear from you.

fabio130497@gmail.com Email, best way to reach me
linkedin.com/in/fabiocaironi LinkedIn, connect & message
Download my CV PDF · Updated February 2026