Billy Davis
AI/ML Engineer in Training | Quantum-Classical AI Architect & Multi-Agent Systems | AI Safety Research | Agent Design • LLM Orchestration | Emergent AI Architect | Self-Taught Developer
- Role
- Batch Maker at Rpm International Inc
- Location
- Hudson, NC, US
- LinkedIn followers
- 500 followers
About Billy Davis
I am an AI/ML Engineer focused on building at the intersection of Quantum Computing and Frontier AI Orchestration. I specialize in creating systems that move beyond simple generative tasks to achieve statistically validated consensus through emergent quantum-classical intelligence.My recent work,\"The Quantum Bridge,\" represents a milestone in multi-agent systems. I successfully demonstrated the first hardware-validated coordination of frontier LLMs (Claude 4.5, GPT-4, Grok-3, and Gemini 3) using real-world quantum entanglement. By executing on IBM Quantum’s 127-qubit \"ibm_fez\" processor, I proved that Bell Pair entanglement provides a statistically significant improvement (p=0.0038) over classical correlation for AI consensus.Core Engineering Proficiencies:Quantum-Classical Integration: Advanced circuit design in Qiskit, managing IBM Quantum Runtime (SamplerV2), and optimizing ISA-compliant transpilation for physical hardware.Frontier AI Orchestration: Architecting role-based council frameworks across Claude, GPT, Gemini, and Grok to mitigate hallucinations and ensure factual precision.Strategic Resource & Budget Management: Experienced in managing high-cost cloud resources—specifically navigating $1.30/second QPU runtime—through rigorous pre-simulation and precision-timed execution to maximize ROI on computational credits.Project Time Management: Expert at managing high-stakes technical sessions, effectively balancing intensive debugging phases with critical, time-sensitive hardware execution windows to meet project milestones.Statistical Rigor: Validating AI system performance through rigorous hypothesis testing, Cohen’s d effect size analysis, and Shannon Mutual Information metrics.Technical Stack:AI/ML: Neural Networks, Neural Routing, Advanced Multi-Agent Coordination.Quantum: Qiskit, IBM Quantum Cloud, Qiskit Aer (Digital Twins).Languages & Tools: Python (Full-stack scripting), HTML, CSS, JavaScript, Git, VS Code.I am driven by the challenge of bridging the gap between theoretical physics and shipped code. I am currently seeking opportunities in AI Engineering, Quantum Computing, or Multi-Agent System Design where we can build robust, hardware-validated intelligence.Let’s collaborate.
Experience
Batch Maker
Jul 2023 — Present
Education
Coursera
Machine Learning/DevOps/Quantum computing
AB tech Asheville community collage
GED
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