About

I studied Computer Science because I liked building things. Not theoretical things — things that ran, that you could click, that solved a problem before lunch and caused three new ones by dinner.

Early on, I worked across the stack: backends that actually scaled, frontends that didn't make people cry, infrastructure that didn't page you at 3am. The systems obsession started here — not with the parts, but with how they failed together.

In 2024, I received an ACX grant to work on AI safety. That changed the trajectory. Not because the grant was large — it wasn't — but because it forced me to take the question seriously: what does it look like when AI goes badly?

The deeper I looked, the clearer it became that the field didn't need more people writing about the problem. It needed people building solutions. Engineers who could ship evaluations, monitoring tools, training infrastructure. The kind of work that's unglamorous but load-bearing.

Now I spend most of my time building things at the intersection of AI safety and the real world. BAISH connects the Buenos Aires tech scene with safety-focused work. ASTN is building the career infrastructure the field desperately needs. AI Species tells the story to 20 million people.

The common thread: making AI safety less of an abstract concern and more of a concrete practice. Less "what if?" and more "here's how."

Based in Buenos Aires. Building full-time. Interested in conversations about alignment infrastructure, safety evaluations, and what happens when you give engineers permission to care about AI going well.