Austin, TX · Available for Senior Design + AI Work
Creative technologist and agentic systems designer with a fine artist's eye — I turn complex AI systems into interfaces people can understand, trust, and use, from enterprise agent platforms to spatial and XR experiences.
Selected Work
Prototype and production work across enterprise AI, autonomous agents, public-health infrastructure, and technical art interface systems.
Agentic Systems Design
The flagship build — a working prototype, hardened toward production. Specialized agents planned and built in close collaboration with Codex and Claude — where the real design work is context engineering: what each agent knows, when it acts, and where a human checkpoint has to sit.
Figma UI/UX Design
Hand-designed product work — wireframes, flows, and high-fidelity systems built in Figma with standard UX and product design tooling, then handed off for engineering.
Technical Art Interface Systems
Independent products where geometry became the interaction language — designed and prototyped through working software.
Studio Practice
A parallel practice in oil and acrylic, worked out with a palette knife instead of a design system — the same eye for color, structure, and gesture.
Indigo SpireOil
Teal Feather StudyOil
Navy Ember Study IIOil
Golden StarOil
Blue RosesOil
Teal Crimson EyeOil
Peach Indigo StudyOil
48 paintings across five series — textured knife work, geometric abstraction, gestural sweeps, florals, and mixed-media experiments.
View the Full Gallery →About
I am an AI Experience Designer with a software-engineering foundation and 8 years across enterprise products, public-sector infrastructure, and emerging interfaces. I translate technical systems into clear human experiences — especially when the product involves agent behavior, private knowledge, permissions, or spatial interaction.
My strongest work sits between design and engineering: understanding how the system behaves, finding the decisions users need to make, and shaping an interface that makes complexity feel manageable.
Systems in Practice
The recurring decisions behind the portfolio — each tied to a real system, constraint, and artifact.
Plans, progress, source context, handoffs, and approvals become product surfaces instead of invisible model behavior.
In practice: Enfluent Atom 02Private knowledge, retrieval rules, data health, and scope are structured so teams can understand what the AI knows.
In practice: Enfluent Synapse 03Autonomy is paired with explicit gates, readable state, and reviewable outputs so the human remains meaningfully in control.
In practice: PixieOS approvals 04Dense records, workflows, and reporting needs are reorganized around the decisions people must make under pressure.
In practice: HealthCheck 05When interface quality depends on orchestration, state, or system response, I work through code to test the complete experience.
In practice: PixieOS + Unity 06Geometry, motion, hierarchy, and reusable rules create recognizable interaction systems across screen and spatial interfaces.
In practice: Glyph applicationsExperience
A technical foundation, followed by increasingly complex product-design ownership.
Sole designer across Enfluent's chat, knowledge-management, and organizational surfaces, plus the public product website. Worked directly with executive and engineering leadership from architecture through production.
Led research, interface, and information-architecture work to modernize Florida's legacy .NET disease-surveillance platform, supporting real-time COVID-19 response across 67 counties.
Built .NET/C# and logistics interfaces, then independently designed and shipped two geometric iOS applications from concept through Unity implementation.
Currently Available
If your AI product doesn't feel right and your engineers can't tell you why — that's where I come in.