Identify high-impact AI opportunities in your organization. Cut through the hype and focus on what actually moves the needle.
Production-ready Python tools and LLM integrations built for your specific workflows. Not demos—real systems that work.
Turn your data into competitive advantage. Sports analytics, business intelligence, or custom dashboards.
BYU's non-conference schedule ranked 293rd nationally—bottom 15%—creating immense pressure on Big 12 play for an NCAA Tournament bid. They needed a data-driven approach to schedule optimization and player evaluation.
Custom Python tool analyzing 6 years of NCAA NET data to project opponent strength and optimize non-conference scheduling for tournament positioning.
Automated daily reports tracking 500+ available players, with AI-powered quick evaluations against BYU's specific roster needs and system fit.
Gemini API integration for instant player analysis. Structured evaluation framework the recruiting staff uses daily for rapid prospect assessment.
These are terrific. Just having the ability to run it through a predetermined filter for quick analysis is huge for me.
I spent 9 years selling AI-powered platforms to enterprises. I learned what actually works in production—and what's just demo-ware.
Now I'm on the builder side, helping organizations implement AI that delivers measurable results. I specialize in bridging the gap between AI capability and real-world application.
9 years of enterprise SaaS sales with 100%+ quota attainment. I understand what enterprises need.
D1 basketball consulting for BYU and Utah. Schedule optimization and player evaluation systems in production.
Python, LLM APIs (Gemini, Claude, GPT), custom tool development. Not just strategy—hands-on execution.
Professional basketball in Europe (2009-2012). I understand competition and what it takes to win.