AI Product Engineer · Gametime
I build production AI systems at scale for live-event discovery and venue imagery. Shipping real systems has taught me what works beyond the demo.
About Danny Sullivan · Raleigh, NC
I’m an AI product engineer, educator, and small-business builder. I help teams find the few AI opportunities worth acting on, choose tools that fit, and turn the useful ones into everyday workflows.

Why work with me
I work with AI every day, but I do not believe every business needs custom software, an “AI transformation,” or another subscription.
Before moving into technology, I taught students with emotional disabilities and played professional baseball in the Tampa Bay Rays organization. Both experiences taught me to prepare carefully, communicate clearly, and keep improving when the path is not obvious.
My job is to understand how your business actually works, recognize where AI has leverage, and explain the recommendation clearly enough that you can make a confident decision. If AI is the wrong answer, I will say so.
Experience
I build production AI systems at scale for live-event discovery and venue imagery. Shipping real systems has taught me what works beyond the demo.
For nearly five years, I created hands-on AI and machine-learning training for teams at major companies including Amazon, Red Hat, and IBM, and built internal AI tools for content teams.
I earned an M.A. in Education and Human Development and a B.A. in Psychology from George Washington University, then studied web development at Flatiron School.
I taught students with emotional disabilities, where patience, clarity, preparation, and trust mattered every day. That experience still shapes how I explain difficult ideas and help people build confidence with new tools.
I played professional baseball in the Tampa Bay Rays organization. The work taught me preparation, resilience, honest feedback, and how small improvements compound over time.
I have built, operated, and sold a Raleigh service business. I understand the difference between an interesting demo and something that earns its keep.
How I work
A useful AI project begins with a real bottleneck, not a favorite tool.
If ordinary software or a better process solves the problem, that is the recommendation.
AI can prepare, organize, research, and draft. Judgment still belongs to someone.
Time saved, response time improved, revenue recovered, or quality increased. Otherwise it is theater.
Start here
Send me the AI task, problem, or question that keeps stalling. I will record a personalized answer and send it directly to you.
Send me your question →For teams
A plain-English introduction to useful AI workflows, limitations, privacy, and better judgment.
See the workshop →After the plan
Focused help redesigning a process, building a workflow, or teaching your team to use it well.
Tell me what is stuck →A useful place to start