Founder-operator · Principal engineer · Researcher

I build systems from first principle to production.

My work spans AI products, secure infrastructure, verification protocols, knowledge systems, and formal research — usually where technical depth, operational judgment, and clear models have to coexist.

The through-line is ownership: understand the whole problem, build the machinery, and keep it credible under pressure.

The wider record includes secure ML infrastructure, real-time inference, protocol design, agentic retrieval, formal research, and technical leadership for high-constraint builds. Discuss an engagement →

Operating range

Products & platforms

From market thesis and architecture through release, operation, and iteration.

Vertical AI · Retrieval · Knowledge systems

Secure systems

Machine learning, protocols, and infrastructure built for adversarial constraints.

Air-gapped ML · Edge inference · Verification

Research & synthesis

Formal arguments and public frameworks that make complex systems legible.

Monetary systems · Institutions · Mathematical form

Architecture · Execution · Stewardship

Where the work happens

Three domains, one underlying concern: systems where the constraints are real and the wrong abstractions are expensive.

Product & Platform Delivery

Market thesis, product architecture, application and data layers, integrations, release infrastructure, and production operations.

Protocol Design & Monetary Architecture

Threat models, mechanism design, verification-heavy systems, and structures built for strategic environments.

Knowledge Systems & Retrieval

Retrieval systems, context graphs, schemas, and teach-forward platforms that turn information into action.

Collaboration

Bring the problem, the constraints, and the desired outcome.

I take on selective work where clarity matters more than performative velocity: protocol and mechanism analysis, secure ML systems, retrieval and knowledge platforms, technical synthesis, and research collaboration.

Email is the fastest path. A short, concrete description beats a polished pitch.

Writing & Research

Follow the larger argument in public.

AfterFiat asks when stress-deliverable privacy, portable proofs, and verified compute may support monetary premium. Eschatology Report extends the inquiry into AI, culture, institutions, and orientation.

Ask