Engineering leader and founder.
Who gets to decide, and on whose terms.
Twenty years of building software and leading engineering teams, across startups, scale-ups and the public sector, taught me that the hard problems are usually about who gets to decide. My work sits at the intersection of technical systems and human ones: how organizations make decisions, how authority functions inside teams, and how to design both so that the people inside a system can see its rules, and help write them.
I'm currently building Orillo, which helps software teams say yes to their agents, with proof of the human judgment behind every change. I'm also developing Consentful Leadership, a framework for what it means to design the systems people work inside with consent, transparency, and agency as structural principles.
Based in Barcelona.
Helps software teams say yes to their agents, with proof of the human judgment behind every change. Placket, its open-source recorder, goes public in October.
A leadership framework grounded in a structural claim: every leader designs the system their people work inside, and most do it by default. Consentful Leadership is the practice of doing it deliberately, with consent as a structural principle. Developed through twenty years of engineering leadership.
Capacity-first task management for people with variable energy. Built on spoon theory: the core question is "what fits within my capacity today?" not "what should I do?" No guilt, no streaks, no punishment for saying not today.
I'm a queer, trans, disabled, and neurodivergent engineering leader. These aren't biographical footnotes. They directly shape how I think about systems, power, capacity, and what it means to design organizations people can actually be whole inside of.
My technical background spans Python, TypeScript, React, Ruby on Rails, and AWS. My leadership experience centers on building inclusive engineering teams, mentoring engineers and managers, and designing both technical and organizational systems. I've worked at Gusto, Regard, and across early- and late-stage startups and government.
I'm interested in how AI tools are changing engineering work, how organizations govern themselves, and how the invisible structures that shape what people can do inside institutions can be made visible and intentional.
I'd like to hear from people redrawing who decides at work, between leaders and teams and between people and AI.