Reduce costs. Mitigate risk. Deploy AI that actually works.
$3M+ in documented savings. Zero hallucinations. Full data
sovereignty.
Get the strategic leadership of a Lead Data Scientist—without the $300k+ annual overhead.
Translate business goals into a phased technical execution plan. Identify the 2-3 highest-ROI opportunities for AI in your organization.
Ensure your infrastructure is AI-ready. Audit existing data assets, identify gaps, and architect a foundation that scales.
Lead your technical teams and hold vendors accountable. I speak both C-suite and code, so nothing gets lost in translation.
Enterprise-grade AI architecture for growing organizations.
From Business Goals to Technical Execution
Your Data. Your Systems. Your Advantage.
The Foundation AI Actually Needs
I spent six years at Google and YouTube building AI pipelines that processed petabytes of data. I led teams, shipped products, and learned what it takes to deploy AI at scale.
Now I bring that blueprint to growing organizations in the Chattanooga region. The same architectures that power Silicon Valley's largest companies—adapted for your scale, your budget, and your reality.
NSA/DoD – Security-first mindset. Data protection is non-negotiable.
Google/YouTube – Lead Data Scientist. ML pipelines at petabyte scale. Reduced human case review costs by $3M/year.
UTK MBA – Leadership & Strategy. The bridge between technical teams and executive vision.
Today – Fractional AI Officer. Enterprise capability, delivered locally.
This is home. I came back to build here, and prove that world-class AI strategy doesn't require a Silicon Valley address.
No pitch deck. No obligation. Just a focused discussion about your AI strategy.