I've been building things since before I knew that was a thing people did for money. Started with a site for writers at 14 (Textos & Companhia). Created a tech conference in high school that ended up in Wired's top 10 European list (SWITCH Conference). Then spent a good chunk of my career building a remote software company that delivered digital products across banking, healthcare and tech, grew to 30+ people and eventually sold (ColorElephant).
The thread is always the same: find something interesting, figure out how to make it real, build it. Right now I'm building ChatBotHouse (AI chatbot and agent platforms for companies), growing a portfolio of small software products at Bits of Wow, and helping companies with product, tech and making AI useful (not just trendy).
Building and deploying custom AI chatbot and agentic platforms for mid-to-large companies with real data, clear use cases and/or compliance requirements. LLM orchestration, RAG, Azure, custom multi-chain tool use and guardrails. Running multiple support and internal agents in production for our clients.
A product studio where I build, test and ship software products. SaaS, mobile, and increasingly AI experiments. Several products in the portfolio have thousands of active users across productivity, learning and other categories. I use it as a testing ground for product ideas, new architectures and fast go-to-market experiments.
Leading technology strategy and AI integration for BlueGlass (Team Farner), a Swiss digital agency. Responsible for technical architecture on large-scale web projects, internal AI adoption and productivity tooling, and growth experiments (GTM) across service lines. Figuring out what AI actually changes about how agencies work and deliver.
Independent travel advisory helping clients book hotels, cruises and complex itineraries, mostly in the luxury segment. A side venture born from a passion for travelling, years of obsessive loyalty program optimization and too many hours on airline route maps.
The failure mode I see most often has nothing to do with models, infrastructure, or talent. It starts in the first meeting, when someone says "we need an AI strategy."
Every new technology you adopt is a bet. Not just on the tech itself, but on your team's ability to learn it, debug it, and maintain it at 3am when something breaks.
Interested in collaborating on product, tech or AI? Work with me.
