Paul Wojnicki, PhD

In 2002 I wrote my first machine learning program in C++ to analyze mammography images for mass detection — before frameworks, before GPUs, before anyone called it AI. That experience of building AI from raw mathematics is the foundation of how I think about frontier models today. Three companies founded. $10M+ in multi-year AI partnerships closed. 32+ AI and automation projects delivered. I’ve driven adoption the same way every time: show a working system first, then explain it. Slide decks don’t convert skeptics. Working demos do. That approach has closed enterprise deals, won over hospital directors negotiating in Mandarin, and turned “I don’t think this is possible” into signed contracts. At Stevens Institute I modernized dated curriculum across 5 subject areas, educated 200+ graduate engineers, and mentored 50+ startup teams from ideation to investor pitch. I’ve delivered technical talks to IIBA audiences on Blockchain and AI business applications — and sold live on QVC, which teaches you things about real-time communication under pressure that no classroom can. How I think: I don’t see one solution — I see the solution space. Before implementing anything I map the full picture: multiple paths, tradeoffs, dependencies, and second-order effects. Then I move fast. That combination — breadth of vision at pace — is what lets me build solo, advise founders, and help customers find the approach that actually fits their problem, not just the first one that comes to mind. Right now I’m solo-building four deployed AI apps including FitCheckAI (AI fashion analysis, iOS native) and ChartFlow (clinical correlation visualization for oncology and disease treatment). I’m a Claude Max subscriber and daily practitioner, and just earned Claude Code in Action certification. I’m not watching the AI ecosystem — I’m building inside it. If your team needs someone who can build credibly, teach clearly, and help customers actually adopt — that’s the through-line of my entire career.