Architecture-heavy systems work

Secure ML, verification, and knowledge systems for real operating constraints.

I help teams working in high-security, latency-sensitive, adversarial, or high-consequence environments design systems that stay credible under pressure — from air-gapped distributed ML and real-time edge inference to protocol architecture, agent systems, and retrieval infrastructure.

The underlying question is simple: what still works when soft guarantees fail?

Best fit: secure ML / LLM infrastructure, real-time inference, protocol and mechanism design, agentic retrieval, and fractional technical leadership for high-constraint builds.

What I help teams do

The best fit is work where the constraints are real and the wrong abstractions are expensive.

Secure ML & High-Constraint Systems

Air-gapped training, deployment architecture, edge inference, and operational ML pipelines.

Protocols, Proofs & Incentives

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

Knowledge, Retrieval & Public Capability

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

Technical Synthesis & Fractional Leadership

Architecture review, research memos, briefings, and selective leadership for teams that need a sharper map.

Work with Jason

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

I am best suited to architecture-heavy work where clarity matters more than performative velocity: protocol and mechanism analysis, secure ML systems, retrieval and knowledge platforms, technical synthesis, and selective fractional leadership.

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

Writing & Research

Follow the larger argument in public.

The next hard money is not what cannot be printed; it is what cannot be forged, censored, or cheaply faked. AfterFiat builds the full argument. Eschatology Report extends it into AI, culture, institutions, and orientation.

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