AI Infrastructure Architect
Five artifacts from my AIML-500 graduate coursework at Indiana Wesleyan University.
One question started it all — can machines think?
Nervous about interviews? This one coaches back.
What if you could explain AI to anyone?
Your model is only as good as what you feed it.
End-to-end toy project: data → splits → tree → prediction, with diagrams and a live demo.
Software engineer with production experience, now focused on AI infrastructure — studying machine learning at Indiana Wesleyan University and building tools that actually ship.
I take AI from idea to production. Research, design, engineering — the full stack.
I'd love to work with teams building ML pipelines, data infrastructure, and AI-powered products at scale.
Open to AI/ML engineering roles and research collaborations.