Research Director at Helaix Applied Research Institute
I discovered K-12/G-9/M-7—formal foundations for reliable AI agent systems— through systematic first-principles investigation. Now I'm building the complete research-to-production pipeline.
AI agents fail unpredictably in production. They lack the formal foundations that made distributed systems and databases reliable—the equivalent of Paxos or ACID for multi-agent coordination.
Through systematic first-principles investigation, I discovered K-12/G-9/M-7: typed-effect kernels providing provably reliable foundations for multi-agent systems. Validated through convergence across 13 independent formal systems.
Published open-source specifications, reference implementation (52k lines), and 6 production libraries. Authored 4 research papers and 3 technical books. Enabling enterprises to build auditable, compliant, reliable agent systems.