Designing Trust Inside Modern Data Infrastructure
Across financial services, healthcare, and enterprise infrastructure, the work clarified how semantic systems, lineage, and cognitive legibility help people trust complex data environments.
The stress test. Direct observations from real systems where theory meets lived operational conditions.
Across financial services, healthcare, and enterprise infrastructure, the work clarified how semantic systems, lineage, and cognitive legibility help people trust complex data environments.
As automation moved from deterministic rules toward adaptive systems, the work focused on explainability, confidence calibration, and human oversight inside operational workflows.
Inside Wells Fargo AI Enterprise Solutions, the work focused on operationalizing trust in regulated AI systems through governance frameworks, human oversight, interpretability, and scalable experimentation across 17 business units.
Inside the CA Accelerator, design became infrastructure for experimentation, validation, and trust across emerging technology ventures working in NLP, predictive DevOps, and operational analytics.
Inside advanced semiconductor design tooling, the work focused on user research, in-canvas interaction, UX maturity, and early machine-learning-assisted workflows for engineers operating at the edge of technical complexity.
Public systems rarely fail at a single touchpoint. This field study looks at how navigability, dignity, and operational clarity shape trust when people encounter institutions under pressure.
For Skitch, we observed preschool children fingerpaint to understand how people explore color before constraint. The work shifted markup palettes from rigid selection toward fluid exploration.
Embedded agency work across Fidelity and other enterprise clients showed how mobile strategy, behavioral segmentation, and content targeting shaped trust as digital systems began following people everywhere.
Through Stanford improv training, we practiced building on each other’s ideas while designing Yahoo! frontdoor experiences at global scale. Even fractional A/B tests reached millions of users.
Inside the first real social network, unstable infrastructure, shifting product identity, global usage patterns, and early social graph behavior revealed how quickly users could define a platform faster than the company itself.
Work across personalization systems, messaging convergence, and large-scale onboarding helped transform the internet from a technical frontier into an environment ordinary people could navigate with confidence.
Inside the dot-com invention factory, design functioned as early-stage scaffolding for startups translating everyday life into the internet before the infrastructure, economics, and ethics had caught up.