Designed a semantic zoom model, vector object rendering library, and modeless single pane interface for the exploration and analysis of large scale networks across any domain. Behavioral clustering from machine learning provides the input; the design problem was making that output navigable at human scale. Built a rendering library of reusable vector node components the graphics engine could assemble across any graph. This method successfully turned dense graph structures into something users could read, navigate, and analyze while preserving orientation, behavioral relationships, and flow.
