Hi! I build systems that fix problems.

Agencies come to me in two different moments: some have an idea worth testing before it gets a real budget, others already have something running that needs to be steadier, faster or ready to scale. Either way, the job is the same: build it properly, so it still holds up long after the pitch or the first release.

I built an in-house platform that trains and serves custom diffusion and language models on a client's own data, with a simple interface their designers use directly to generate campaign and TV-ad assets. No waiting on an external studio, no back-and-forth — a backend handles the compute, the workers and the delivery behind the scenes. What used to take a production company weeks now happens in-house, at a fraction of the cost, without losing quality or control.

Another project I'm proud of: a voice AI agent built to waste scammers' time on the phone, keeping them talking to a bot instead of a real victim.

That one has picked up some recognition: a BIMA100 AI & Tech Pioneers listing, four Cannes Lions, a Shorty, a Webby and a Gold at the British Arrows.

I have a firm view on using AI responsibly: data gets stored safely and used only with permission, no exceptions. That's a default in how I build, not something bolted on afterwards.

I'm also a strong believer in open source. I build on open models and open tooling because the community has already done excellent work worth building on, and I try to give back by maintaining and sharing open-source repositories of my own whenever I can.