About

Auriel.

I've spent the last decade at the intersection of cutting-edge machine learning research and real-world product impact. I've built AI systems used by billions of people, backed early-stage founders building the next generation of AI companies, and helped senior leaders figure out what this technology actually means for how they work and lead.

Context

I build products, invest in companies, coach executives, and host communities. Each of those roles makes the others sharper. The common thread is a practitioner's relationship with AI: I've shipped it, studied it, bet on it, and taught it.

Career arc
The beginning

Harvard

Computer Science, and a lasting interest in how intelligent systems perceive and make sense of the world.

Founding

Y Combinator W20

Co-founded a startup from zero. Fast decisions under uncertainty, product calls with almost no data, and what it feels like to be responsible for the whole thing.

Research to product

Google Brain

Research PM translating ML work into systems that fed Search, Pixel and Waymo. A Cannes Lion for authentic representation in imaging; published at NeurIPS.

The frontier

Google DeepMind

PM Lead on Gemini, self-coding agents, self-evolving systems and reinforcement learning research.

What I believe

Practitioners make the best coaches.

The most useful perspective on AI transformation comes from people who've actually shipped AI systems.

Community is compounding.

The connections made in a small room with the right people change careers, companies, and sometimes fields.

The best products start with the human.

The product only works if it fits into someone's life in a way that actually helps them.

Representation matters in AI.

As a first-order product and research concern. Who builds the system shapes what it sees and does.

At a glance

Want to work together? I'm open to coaching, advising, and conversations with people building at the frontier.

Get in touch