About

Technical leadership with an AI/ML and education core

I’m an AI/ML-focused leader whose work spans enterprise software, defense and government systems, game development, quality engineering, and higher education. The common thread is building systems — technical and organizational — that help people execute complex work more effectively.

Professional throughline

Building useful systems, not just interesting ones

Across my career, I’ve led large-scale technical initiatives, built SaaS platforms, developed intelligent automation and machine learning solutions, and supported high-performing teams delivering complex work in demanding environments.

Professionally, my work brings together product thinking, program execution, technical leadership, and quality strategy. I currently serve in senior leadership roles across project management and quality assurance, and I founded TMFPRETTY, LLC, where I designed and built Caruso, a full-stack enterprise SaaS platform supporting project management, QA, HR, business development, and systems engineering workflows.

Core themes
  • AI/ML systems with real operational value
  • Product and program leadership
  • Quality strategy and execution excellence
  • Education, mentorship, and curriculum depth
AI/ML

Practical applied AI

My AI/ML work includes natural language processing for bug triage, computer vision and anomaly detection, AI-enabled game systems, intelligent automation, and multi-agent operating models designed to support real organizational execution.

Education

Teaching and mentorship

Education is a major part of my professional identity. I serve as an adjunct professor and subject matter expert across multiple universities, teaching and supporting courses in artificial intelligence, machine learning, computer vision, statistics, product management, and project management.

Background

Why I approach work the way I do

Before my current work, I served in the United States Air Force and later worked across defense, government, enterprise, and gaming environments. That combination of mission-oriented discipline, technical depth, and leadership responsibility still shapes how I approach systems, teams, and long-term execution today.

I’m especially interested in using AI not as a gimmick, but as a practical force multiplier for decision quality, operational visibility, delivery effectiveness, and human-centered execution.