I build AI products people can understand, trust, and use.
I build AI products, workflow systems, and stakeholder-ready analytics, and I care most about making complex systems easier to understand, trust, and use. That lens came from health-AI research across 30K patient records, product work spanning harmonIQ, HandoffAI, and Kestrel, and my MSIS focus on AI product management and enterprise platforms.
records modeled
risk-scoring dashboards and pipelines
less manual analysis
Python/R pipelines replacing manual analysis
higher completion
recruitment and scheduling redesign across 100+ sessions
imaging sessions
standardized intake and preprocessing workflow
How I turn ambiguous
problems into shipped products
I'm most useful when a team needs product judgment, technical depth, and a clear next step in the same conversation.
Discovery before build
I map user friction, requirements, and tradeoffs before committing to a build.
Prioritized MVP scoping
I scope MVPs around the highest-impact problem, then sequence what comes next.
Clear stakeholder communication
I explain product decisions, AI outputs, and tradeoffs in language each audience can use.
Test, learn, iterate
I connect product behavior to metrics, decisions, and the next iteration.
Looking for someone who can scope the problem and explain the next step?
I'm an aspiring PM targeting Associate Product Manager and early-career product builder roles where product judgment, technical fluency, and stakeholder communication overlap.