I specialize in bridging the gap between high-level Cognitive AI and high-precision Industrial Automation. My work focuses on transforming traditional, static manufacturing environments into "Industrial Organisms"—self-aware systems that perceive, learn, and optimize for both physical safety and economic dominance.
- Cognitive Manufacturing Architecture: Developer of the FANUC RISE v2.1 and Cognitive Forge frameworks. I implement bio-mimetic control systems that replace rigid "if-then" rules with adaptive Neuro-Safety gradients (Dopamine/Cortisol feedback loops).
- AI Hallucination Mitigation: Designer of the Shadow Council governance pattern. This three-agent architecture (Creator, Auditor, and Accountant) allows probabilistic Large Language Models (LLMs) to innovate safely within deterministic CNC environments by enforcing physics-based validation layers.
- Edge Computing & Neuro-C: Researching and implementing sparse, integer-only ternary adjacency matrices to achieve <1ms inference latency on resource-constrained hardware, enabling real-time "spinal reflex" safety responses at the edge.
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Economic-Physics Synthesis: Inventor of "The Great Translation," a theoretical framework that maps SaaS business metrics to manufacturing physics—treating Tool Wear as Churn and Setup Time as CAC to maximize the real-world Profit Rate (
$Pr$ ).
- Quadratic Mantinel: Implementing physics-informed geometric constraints where tool speed is dynamically governed by the curvature squared of the toolpath to prevent mechanical failure.
- Nightmare Training: Utilizing adversarial simulation loops during machine idle time to "dream" of failure scenarios, updating safety policies without risking real hardware.
- Digital Twin Entanglement: Bridging the domain mismatch between CAD design-time (SolidWorks) and CNC execution-time (Fanuc FOCAS) through Interface Topology and asynchronous event buffering.
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