Close to the work, upstream of the consequence.
My professional work spans safety-critical engineering, technical program leadership, identity infrastructure, autonomous systems, organizational operations, and AI governance. The recurring problem is the same: consequential outcomes depend on how information moves, who has context, where authority sits, and whether disagreement can surface before failure.
Systems and governance
I have worked across aerospace, FDA-regulated medical systems, autonomous and mechatronic systems, enterprise identity, software platforms, and organizational operations. That work moved me progressively upstream from testing and delivery into questions of architecture, decision rights, evidence, risk, and governance.
- Safety-critical systems: verification, validation, integration, traceability, and failure-mode thinking.
- Technical programs: cross-functional coordination, operating models, decision ownership, and escalation paths.
- Identity and platforms: authorization, account systems, incidents, migrations, and large-scale operational dependencies.
- AI governance: decision lineage, authority mapping, evidence preservation, context, runtime constraints, and human intervention.
Research over premature commercialization
I founded Polycentria around related problems in AI governance and inspectable decision-making. As the work developed, I shifted the emphasis from near-term commercialization toward staged research, technical evaluation, protocol development, and pilot design.
Polycentria is maintained as a separate organizational identity from my personal research and from Crimes Against Consciousness.
Mechanism before narrative
I tend to work from the mechanism outward: what happened, what evidence survived, what was assumed, what changed between environments, who could see the relevant signal, and what decision the system allowed or prevented. That operating habit now informs the research methodology as well.