I’m building Kepler, the AI platform for financial services, where every answer traces back to its source filing, page, and line item.
We’re a team of engineers who’ve built mission-critical systems at Palantir, Citadel, and PhysicsX. We’re backed by some of the architects of modern data and AI platforms, including founders of OpenAI, Facebook AI, MotherDuck, dbt, Outerbounds, and others.
Email me about Kepler. • Follow along on the Kepler website or LinkedIn page.
Where my time goes
- Kepler. Most of it. Recruiting, customer conversations, and shipping the platform with the team.
- Writing. When something is hard enough to explain that I want to write it down, it ends up on this site.
- Teaching. Courses on LinkedIn Learning. My most recent are AI Model Basics and Forward Deployed Engineering in the Age of AI.
- Advising. A small number of founders building data and AI infrastructure.
What I’m thinking about
- Why verifiable AI is the only kind of AI that will work in regulated industries
- How Forward Deployed Engineering scales, and where it breaks
- Context engineering as a data engineering problem in disguise
- The tooling gap between AI demos and AI in production
Recently
- The Rise of the Forward Deployed Engineer: why most FDE functions are really consulting teams, written for Latent Space
- What Rivals Get Wrong About FDEs: a conversation with Business Insider about running Project Frontline
- How Kepler Built Verifiable AI for Financial Services: the AI Engineer talk on atomic provenance, scope determinism, and derivation chains
- How Forward Deployed Engineering is Done at Kepler: the AI Engineer talk on treating FDE as a product strategy
- AI Model Basics: a short LinkedIn Learning course on how LLMs actually work
- Forward Deployed Engineering in the Age of AI: a LinkedIn Learning course on forward deployment as the path to real AI adoption
Read more about me or check out my writing, talks & courses, and projects.