Decision conditions first
I start by asking what the user is trying to decide, what context is missing, and where pressure changes behavior.
In research, in restaurant management, and in the projects below, the pattern is the same: real stakes, incomplete information, and someone who needs to know what to do next. I pick up unfamiliar technical and domain material fast so I can make that next step clear.
Based in Dallas-Fort Worth. Open to on-site, hybrid, and remote roles.
Selected projects

Working SwiftUI system for adaptive planning, check-ins, reminder routing, and variable-capacity days.
3D fit visualization research tied to sizing confidence, returns, and retail conversion risk.

Behavior-informed onboarding research using input logs, overlays, and negative-transfer evidence.

Communication support for NICU families: daily orientation, shared questions, and care-team handoff clarity.
How I build with AI
I use AI agents to audit evidence, build prototypes, pressure-test claims, and verify that the final story stays accurate.
How I think
Across healthcare, productivity, retail, and games, these projects study the same pattern: people make better decisions when systems reduce uncertainty, preserve context, and clarify the next action under pressure.
I start by asking what the user is trying to decide, what context is missing, and where pressure changes behavior.
The same cognitive problems show up in healthcare, productivity, retail, games, and financial decisions.
I translate evidence into flows, constraints, intervention points, and decisions users can actually move through.