I work at the intersection of AI reasoning, distributed systems, and enterprise automation — designing architectures where decisions are traceable, replayable, and owned by the organization. My core work includes MindsEye, BinFlow, and LAW-N: systems that treat memory as infrastructure and policy as code.

Currently exploring how metadata flow, ledgers, and networks create emergent intelligence at organizational scale — without black boxes.

Less hype. More structure. Build systems that can explain themselves.