About Me
I've spent two decades building software systems for aerospace, defense, and enterprise environments before diving deep into AI research and implementation. My journey took me from Collins Aerospace/RTX developing mission-critical systems to earning a PhD focused on deep learning and reinforcement learning.
Today, I split my time between consulting with businesses on practical AI implementation and co-founding a startup building agentic AI systems.
Credentials
A foundation built on technical excellence and practical experience
PhD in Human-Computer Interaction
AI research specialization in deep learning and reinforcement learning
20+ Years Software Engineering
Professional experience across aerospace, defense, and enterprise
RTX/Collins Aerospace Systems Engineer
Mission-critical systems for space and defense programs
Co-founder of Agentic AI Startup
Building cutting-edge AI systems with practical business applications
Published AI Researcher
Research in deep learning, reinforcement learning, and robotics
Dual Bachelor's Degrees
Computer Science and Mathematics, Iowa State University
How I Work
My systematic approach to delivering AI solutions that work
I start by understanding your actual workflows before recommending any technology. Most AI implementations fail because they solve the wrong problem or ignore how people actually work.
I build working prototypes quickly so you can see exactly what you're getting before committing to full development. My goal is always complete knowledge transfer to your team. You own and maintain the solution, not me.
Every engagement is measured against concrete business outcomes: time saved, revenue increased, processes improved.
Understand Workflows
Map your actual processes before recommending technology solutions
Build Prototypes
Quick, working demonstrations so you see exactly what you're getting
Transfer Knowledge
Complete handoff to your team with training and documentation