I’ve spent my career making difficult technology teachable, usable, and real.

I started as a builder and never found a reason to stop.

I’ve worked from the application layer down toward the machine: co-founding software companies, building products, working inside AWS innovation, advising teams, and writing the runtime and security architecture for new infrastructure.

Along the way I built newline (formerly fullstack.io), a technical education and publishing company. I authored and co-authored nine technical books and taught software around the world—from public classrooms and universities to government teams, working engineers, and volunteer programs.

The recurring job has been translation: understand a hard system deeply enough to make its power available without erasing its constraints.

Security changed how I think about product.

Ethical hacking and capture-the-flag work—including three Stripe CTFs—taught me to look for ambient authority, implicit trust, and the distance between what a system promises and what it can actually enforce. Those lessons now shape how I think about AI agents, microVMs, egress policy, identity, and auditability.

Today, I’m building beneath the prompt.

My current work focuses on secure execution infrastructure for AI agents, deterministic and object-first runtimes, semantic addressing, and Rust systems that make their guarantees explicit. I care about performance, but not as theater: low latency and small operational surfaces are part of making security practical.

Outside the work, I mentor engineers, referee youth sports, keep learning formal methods, and remain interested in almost every layer of computing—from hardware and kernels to language, meaning, and human coordination.