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Systems engineer with 25 years of experience in government and defense cyber systems engineering, now building production agentic AI systems. I design multi-agent platforms with structured governance, hybrid LLM routing, and autonomous workflows for safety-critical environments. Every system I build prioritizes reliability, interpretability, and human oversight.

Key Skills

  • Agent harness architecture
  • Hybrid LLM routing
  • AI governance frameworks
  • Cyber-physical RE
  • Multi-agent communication
  • NIST/IEEE/MITRE frameworks
  • Production deployment
  • OT/ICS security
  • Full-stack engineering
  • Experience

    Agentic AI Systems Engineer

    Independent — ARKONA Ecosystem

    2025 – Present

    • Architected and deployed a 6-domain autonomous ecosystem with 46 services and 17 AI agents
    • Designed agent harness with structured communication, persistent memory, and governance layers
    • Built hybrid LLM routing system optimizing across cloud and local models for cost and capability
    • Implemented real-time AI governance dashboard monitoring all agent decisions and resource allocation
    • Created autonomous research agents operating on daily schedules with long-horizon memory
    Multi-Agent LLM Routing Governance Production

    Senior Systems Engineer

    Defense / Intelligence Community

    2001 – 2025

    • 25 years engineering cyber-physical systems for government and defense applications
    • Led OT/ICS security assessments and reverse engineering of industrial control systems
    • Designed systems engineering processes aligned with NIST, IEEE, and MITRE frameworks
    • Built tooling for vulnerability analysis, threat modeling, and operational technology assessment
    • Transitioned domain expertise into AI-augmented workflows and autonomous analysis pipelines
    Defense/IC OT/ICS Security Systems Engineering Cyber-Physical

    Featured Project: ARKONA Ecosystem

    6
    Domains
    Hardware, Firmware, Software, Intelligence, Enterprise, Data
    46
    Services
    Autonomous microservices across the full stack
    17
    AI Agents
    Specialized agents with structured governance

    Education

    PhD in AI/ML (Starting May 2026)

    Focused on advancing the science of agentic AI systems — agent harness design, multi-agent communication architectures, and governance frameworks for autonomous operations.