About me
Right now, I'm a Senior Content Designer at Microsoft. Before Microsoft, I freelanced as a UX and content designer for startups across cybersecurity, online dating, and trucking hardware, after several years in sales and marketing leadership roles.
I've spent five years figuring out what humans need from enterprise productivity products, and the last three years figuring out what they need from AI. I'm curious about how we can design agentic systems that truly help people.
Working at the forefront of AI has allowed me to learn new skills like prompt engineering, LLM evaluations, and systems design. Now I'm looking for the next opportunity to shape the scaffolding, reasoning, guardrails, and instructions behind LLM experiences, in service of people.
What people are saying
"You took something abstract and made it actually teachable."
"I didn't understand evaluations until you explained it."
"This framework is the first thing that made me feel like I could do this."
"I feel so much more confident now."
"You help people see the shape of the forest."
"People are looking to you for leadership."
"This is something we can actually trust to make decisions."
How I work
My process shifts with the problem: Figma, code, or a set of AI tools I've built into my own workflow, whatever gets me to an answer fastest.
Figma - Eight years in Figma, Sketch before that, with fluency in how design systems work. I build my own mocks and prototypes when I need one, and I'm now experimenting with using the Figma MCP to draft first-pass content.
GitHub - Seven years in GitHub, due to years of writing technical documentation there, so I'm comfortable with markdown, repositories, and reviewing changes before they go live. I use AI coding assistants now for routine tasks.
Prototyping - I can build quick, self-contained prototypes to test proof of concepts. I've also used AI-assisted coding to build small, functional pieces that show real behavior, like a tool that adapts what it displays based on someone's role or stage in a complicated deployment process.
My own system - I've built a personal workbench out of an AI assistant, internal tools, and project folders full of strategy docs and reference material. It's tuned to my preferences and works more like a thinking partner than a search tool.
How I show up
Turns quality into a business case
Builds evaluation strategies that shows if an agentic experience is actually earning trust, delivering user-success, and solving large-scale problems.
Builds systems, not one-off solutions
Designs reusable frameworks that solve categories of problems once instead of solving them one at a time.
Makes the complex teachable
Translates emerging, technical concepts into curriculum and frameworks non-technical people can use in the flow of their work.
Shapes how agents reason and behave
Defines the traits, response patterns, and guardrails that shape how an AI agent reasons and behaves at enterprise scale.
Aligns people across boundaries
Unites designers, engineers, and stakeholders across disconnected teams around a shared direction and outcome.
Moves fluently across content, visual, and systems design
Writes voice and tone frameworks, directs brand identity, and architects information design with equal depth.
Multiplies capability in others
Trains and mentors people so capabilities compounds across the org instead of staying with one person.
Writing samples
Here are a few writing samples that have consistently outperformed comparable docs in traffic and customer ratings.
Response quality evaluations for the Employee Self-Service agent
The documentation behind the evaluation curriculum ~100 field reps were trained on and a blueprint to LLM evaluations for enterprise organizations.
Review the evaluation curriculum
Plan, build, and launch a SharePoint home site for your organization
Planning guidance for IT admins building their org's intranet, written years before the AI work, but it demonstrates the same instinct for turning a complex process into a clear plan.
Resume
Senior Content Designer, Microsoft - 2019 to present
AI Content engineering
I've spent three years working on AI experiences, working at the intersection of prompt engineering, evaluation, and language design.
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Own prompt engineering and agent instruction design for the Microsoft Employee Self-Service agent, an enterprise HR and IT assistant reaching tens of thousands of users across hundreds of organizations. Shaped the agent's core identity, context handling, guardrails, and emotional intelligence capabilities.
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Identified and solved critical response quality failures through agent instruction design, including building emotional intelligence capabilities that detect user sentiment and adapt tone to resolve deployment blockers for enterprise customers.
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Developed and expanded the product's response quality framework and adapting it for enterprise employee experience contexts and connecting each dimension to measurable product signals.
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Built evaluation methodology for new and emerging areas including multi-turn conversation testing and localization, defining quality criteria, test plans, and acceptance standards where none previously existed.
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Developed evaluation education curriculum for a field organization of 100+ people, translating complex AI evaluation concepts into practical guidance that accelerates customer deployment cycles and builds organizational capability at scale.
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Partnered directly with enterprise customers to understand response quality gaps, synthesize feedback into product requirements, and drive measurable improvements to agent behavior.
Content design & systems
Before AI, I spent years building the language infrastructure for enterprise products used by millions, and learning that systems work only matters if it's made accessible to the people who need it.
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Led content design for the Microsoft Viva suite, a portfolio of eight enterprise employee experience apps reaching tens of millions of users globally.
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Identified and drove a year-long cross-suite coherence initiative, uniting content designers across disconnected product teams to establish shared voice, terminology, navigation patterns, onboarding experiences, and system messages, captured in a design kit adopted across the studio.
Creative & brand leadership
I've taken on creative challenges that pushed me outside my lane, most notably leading the end-to-end redesign of Microsoft's annual Design Week portal.
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Nominated to the Microsoft Design Week leadership committee and led the end-to-end redesign of the conference portal serving 4,000 designers across eleven global hubs.
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Defined the event theme — coevolution — and directed the visual brand identity, content strategy, and information architecture for the portal. Recruited and managed a cross-functional team of designers, engineers, and volunteers to execute the redesign.
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Resolved longstanding accessibility, performance, and navigation issues that had affected previous years, delivering a portal that received widespread recognition from attendees and leadership.
Community & mentorship
Over the last three years, the community events I lead have grown more sophisticated alongside the technology. What started as a space for connection has become a place where the discipline sharpens its skills, shares what's working, and figures out together what content design looks like in the AI era.
- Lead community events for 300+ content designers, planned in close partnership with leadership. Attendees consistently leave feeling energized — the events give people a place to see the latest work and strategy coming out of the discipline, connect with colleagues they don't normally work with, and feel like the work they do is going somewhere. They also create strategic accountability: when initiatives are presented to the community, teams follow through.
Mentor ~10 content designers across the organization over the last 3 years, supporting career growth and helping people build confidence navigating systems and AI work inside a large enterprise.