Hi, I'm
Product Designer | B2B Enterprise SaaSI redefine and build experiences for complex data & AI platforms — turning powerful, intimidating enterprise software into tools people want to use — grounded in over a decade of product architecture and design thinking.
Senior Product Designer at Cloud Software Group
Architecting a $175M P&L mission-critical data platform — named Best in Class in Dresner Advisory Services' 2025 Industry Excellence Awards, one of the BI industry's highest honors.
See the platformOne guided modal, restructured into a clear tab rail — Task, Distribution, Recurrence, Properties, and Log Reports are tabs in a single contextual window from the “+” menu, with the Hub as the parent behind it.
Engineering wanted every follow-up to replace the last chart. I argued the analytical journey is a thread and pushed for append — and won. A new answer stacks below; the previous one folds into a 48px header you can reopen with a click. You can always trace how you got here — and the UI never becomes a wall of noise.
Four steps, no branching — Problem type → Target → Predictors → Hyperparameters. Every step carries plain-language help, and defaults are pre-set, so a business user goes from dataset to trained model without a data-science degree. The structure came straight from mapping the domain with the data scientist.
Three scattered menus became one plugin inside the existing Hub — HUB → IQ Plugin → four engines, each opening onto its own workflow. One entry point, one mental model; the restructure was front-end. The engines already existed; the architecture is what made them one product.