My Resume
Learn more about my professional experience
Selected Work
Language has become one of the most important interfaces in modern products.
My work has followed that evolution — from content systems and conversational design to semantic architecture, AI product design, and governance. The projects below explore how thoughtful language design can make complex technology more understandable, more useful, and more human.
Case Study: From AI Pilot to Operational Capability
An early AI content pilot needed structure to move beyond experimentation.
Note: This is a brief summary. The full case study and supporting materials are available upon request.
Note: This is a brief summary. The full case study and supporting materials are available upon request.
Designing AI Systems: A Framework for AI Capabilities
Created a design framework for thinking about AI systems from a product and design perspective. The framework helps teams translate user goals into capabilities, understand how those capabilities work together to create experiences, and make more effective decisions about what to build, prioritize, and govern. It reframes AI capability design as a bridge between human needs, system behavior, and product outcomes.
From Designing Containers to Designing Intelligence
Developed a conceptual framework showing how traditional UX design skills translate into the emerging world of agentic AI systems. The model illustrates the shift from designing screen-based interfaces to designing intelligent systems that interpret intent, orchestrate capabilities, and dynamically synthesize responses. It highlights how familiar design practices such as flows, decision trees, and edge-case handling — evolve into intent mapping, skill orchestration, and conversational QA in AI-driven environments.
Talk to Me - The Best Buy Bot and Beyond
While at Best Buy, I helped lead the migration from a rule-based chat platform to a Conversational AI platform, and establish not only our bot's persona and voice, but helped define its purposes (what it was and wasn't) and build a content strategy of logically sound, scalable conversational flows that improved the entire user experience.
A Baby Bot gets a Conversational Strategy Glow Up
I was Lead UX product partner with the Sales Chat Bot team, collaborating directly with product and business owners, international development leads, data teams and research partners - to deliver improved conversational experiences that are genuinely responsive to both customer and business needs and expectations.
PRODUCT, STORY, PURCHASE. REPEAT.
I worked with Target to design a product content strategy to support their expansive brand collaborations, particularly important as many product styles are available only online.
Upon implementation, online sales of these high-value products exceeded sales goals by over 40%, and outperformed on-store sell through rates by over 25%.
The lesson? Great content design bring products to life. It answer questions, affirms trends and kicks hesitations to the curb. Most importantly, good product stories sell.
Upon implementation, online sales of these high-value products exceeded sales goals by over 40%, and outperformed on-store sell through rates by over 25%.
The lesson? Great content design bring products to life. It answer questions, affirms trends and kicks hesitations to the curb. Most importantly, good product stories sell.
Bringing the Brand Love to AR Experiences
Branding exploration for AR experiences
Making Words Work Smarter, Not Harder
Examples from my time as the UX Writing champ at Best Buy
Areas of Focus
AI Systems Diagnosis & Architecture: Diagnose why AI pilots and conversational systems underperform — at the architectural level, not just the prompt level — and redesign them into stable, governed, brand-aligned experiences.
Content Strategy & Narrative Systems: Design the content architectures, persona systems, and interaction patterns that connect brand strategy, customer needs, and business goals.
Brand Personality Design: Translate brand values and customer understanding into the instructions, behaviors, and interaction patterns that give AI systems a consistent and recognizable voice.
Governance & Evaluation Frameworks: Build evaluation frameworks, content guardrails, and quality standards that help organizations measure, monitor, and improve AI-generated experiences over time.
Enablement & Practice Building: Create operating models, rollout plans, risk guidance, and training programs that help content, marketing, and product teams adopt AI effectively.
Focus Areas: Conversational AI · Language Systems · AI Product Experiences · AI Governance & Evaluation · Narrative Strategy · Brand Voice Architecture · Enterprise LLM Implementation