I speak about shipping AI that holds up.

Practical talks for product and engineering leaders in healthcare and life sciences. Direct, evidence based, built from production work.

How leaders build the plan, the team, and the loop that gets to production.

How architecture, UX, and strategy fit together when stakes are real.

Why good models still fail, and what to do about workflows, trust, and change.

Safety, reliability, and measurement in regulated settings.

How teams scale AI without drowning in edge cases.

How tech communities and events create real connection, not noise.

What changes after the talk

A clear way to frame the problem

The decisions that matter early

A simple system for shipping and learning

Tradeoffs named plainly, no vague advice

Tell me the audience, the stakes, and the outcome you want.