I design machine intelligence systems that work under pressure

From Theoretical Physics to Engineered Intelligence

My early career was devoted to the deep structure of the universe — string theory, quantum gravity, and the mathematics of the impossible. I taught supergravity and differential topology in Europe, researched particle phenomenology at Harvard, and worked on cosmological models at the IAS in Princeton.

Eventually, I turned my attention to building systems here on Earth.

Today, I work across the stack of machine intelligence — from Bayesian modeling to language agents to self-updating investigative pipelines. My clients span cybersecurity, biotech, fin-tech, prop-tech, and defense. The unifying theme: messy data, high consequence, no margin for error.

Crunchbase

Core Competencies

  • AI Systems Architect

    From idea to artifact — I design architectures that hold up to scale, uncertainty, and scrutiny. I specialize in agent orchestration, structured reasoning, and graph-native learning systems.

  • Advisor to Visionaries

    I collaborate with founders, VCs, and research leads to bring clarity and edge to their roadmap. Sometimes this means writing code. Sometimes it’s rewriting how you think.

  • Creative Catalyst

    When others say “it can’t be done,” I map what it would take to do it — and then prototype the path.

Private Consultation