George
AbrahamPh.D.
I'm a design leader with a Ph.D. in Human-Centered Design and 16 years building B2B SaaS products from the inside out.
My work has followed a consistent thread: closing the gap between design intent and product reality. From modeling real user workflows, to validating decisions before development, to generating production-ready code from proven designs, to designing the constraints that make AI output trustworthy, each platform tackled a bottleneck the previous one exposed.
The result is a portfolio of systems designed to move product teams faster, with more confidence and less waste.
ResumeThe gap between design and engineering isn't a communication problem. It's a systems problem. I build the systems that close it.
Model the Behavior
Designers were drawing screens. Engineers were building systems. The gap — all the states, transitions, and edge cases — wasn't in anyone's deliverable. It got discovered in code, usually too late to fix cheaply.
Prove It Works
Teams were shipping on gut feel and stakeholder sign-off. Real usability testing was too slow and expensive to run regularly — so most designs went to engineering without anyone knowing if they'd actually work.
Ship Without Waste
Even after a design was validated, engineers rebuilt it from scratch using the spec as a reference. Every handoff was a retranslation. Layout fidelity eroded. When AI generation entered the platform, non-deterministic output in an enterprise design tool became a different category of problem.
Prototype the Complex
Enterprise BI teams needed a semantic modeling layer with no existing UX pattern to reference. The domain was technically dense, the audience unforgiving, and direction had to be validated before any production code was written.