Created a platform for intuitive exploration of large-scale network graphs using Ai generated clustering, multi-level semantic layers, and depth-rendered visualization to surface critical paths and relevant behavior at each layer. Designed a first of its kind semantic zoom model, vector-based rendering library, and modeless single pane interface that made complex graph structures readable while preserving user orientation, behavioral relationships, and investigative flow.

• Researched academic literature on large graph visualization and topology reduction to develop the first production-deployed integration of semantic, hierarchical, and interest-based data abstraction in a navigable production tool.
• Built the platform as a modeless, single pane workspace where semantic zooming into behaviorally generated clusters was the core interaction. The same controls worked at every level, from the full network to individual nodes and edges, maintaining strong user orientation and navigational control.
• Created a vector-based library in Illustrator as a system of lightweight, reusable node components for the graphics engine to assemble across any large network graph, keeping memory use low while supporting smooth zooming, clear visual cues, and consistent behavior across more than ten thousand interactive elements.
• Designed time-based exploration and human in the loop interaction capabilities that allowed analysts to review how clusters and behaviors evolved over time, including replay through event-centered scrubbing and upstream and downstream tracing.

Founded a commercial 3D studio that grew into a multidisciplinary practice across generative Ai, motion, video, UX, visual design, and most recently front-end development through agentic coding tools, consolidating multiple specialized roles into just one.

• Developed an end-to-end design workflow using agentic coding tools that moves from requirements through functional prototyping, design iteration, and production-ready front-end prompts in a single fast loop, compressing what would have required a team of twenty and months of work into a team of four or five delivering in weeks.
• Achieved professional level fluency across generative Ai, 3D, video, motion, and visual design over five years of continuous hands-on practice, enabling rapid solo execution across the full design stack.
• Identified a fundamental limitation in early generative Ai video tools and submitted detailed feature requirements to Runway in 2023 proposing first-frame and last-frame control, which became one of the most widely used features in Ai video generation the following year.

Designed the world's first Ai powered shopping agent, Sentient Aware, pioneering new interaction patterns built on image-based search, evolutionary algorithms, and early generative techniques while working within the limits of 2015 era Ai.

• Worked with machine learning and data science teams to understand early Ai models including convolutional neural networks, evolutionary algorithms, and early generative adversarial networks to learn how they supported image-based search.
• Designed the core interaction loop where users began with a text search, selected the closest visual match, and received ranked results, creating a clear and intuitive rhythm between user decisions and system feedback.
• Studied how people shop for shoes in the real world and uncovered the mental models they use to judge color, shape, texture, style, and occasion.
• Mapped user expectations to what early visual Ai could interpret, creating interactions that returned results consistent with how people intuitively thought about shopping for shoes on mobile and web.

Architected end to end UX for a machine learning based threat detection platform, collaborating with data scientists and security researchers to build behavior focused network visualization that surfaced anomalous activity across enterprise networks.

• Designed a multi scale, semantically aggregated graph visualization system using hierarchical abstraction and semantic zooming to transform enterprise networks with 10,000 plus nodes into interpretable layers for investigation and diagnosis.
• Conducted extensive user interviews with SOC analysts to understand how they mentally cluster network assets and think about threats, then translated those mental models into navigable graph workflows that supported rapid situational awareness.

• Led UX and visual redesign for HP.com shopping targeting SMB market.
• Delivered production ready HTML prototypes ahead of SCRUM sprints.

• Directed UX across nine game teams.
• Shipped in game commerce and social features.
• Established user research and design system practices.

• Redesigned GlobalView HR SaaS platform with internationally distributed team.
• Resolved major usability issues in Workforce Now by simplifying workflows and introducing search functionality.