Work
I’m at my best when the problem is messy, the stakes are high, and the team needs someone who can make the path forward feel obvious.
Whatever the challenge, I help turn up clarity, not noise. By leading UX with intention and strategy, I help products express what truly sets them apart, align teams around a shared vision, and create experiences that engage the right users and drive meaningful growth.
* AI for speed - Rapid prototyping, synthesis, and concept exploration.
* Human judgment for taste - Knowing what to keep, what to cut, and what will earn trust.
* Systems for scale - Design libraries, governance, documentation, and quality standards.
* Storytelling for alignment - Turning ambiguity into a vision people can understand and act on.
Building DesignOps From the Ground Up
Next Up
As Auris transitioned into a standalone product organization, the design system it inherited was fragmented, inconsistently applied, and disconnected from engineering workflows. What existed functioned more as a visual reference than a true product foundation.
I was brought in to transform this system into a scalable, governed design infrastructure that could support a full platform redesign while enabling teams to continue shipping.
This effort went beyond UI standardization. It required aligning design and engineering around a shared system, introducing governance, and establishing a long-term strategy that connected design decisions directly to product velocity and quality.
I led the migration and redefinition of the system into what became Nova, including the setup of a new Figma Enterprise structure, component governance models, contribution workflows, and design QA standards. This included close coordination with engineering to ensure system parity in code, as well as partnership with an external design agency to align on future-state patterns and handoff readiness.
To accelerate progress, I incorporated AI-assisted workflows for system audits, documentation structuring, and early concept exploration. This allowed us to move faster through ambiguity while maintaining a high bar for clarity and consistency.
The result was a foundational shift. Design moved from fragmented execution to a system-driven approach, enabling clearer decision-making, more efficient handoffs, and a scalable path forward for the product.
Project Overview
Created the foundation for faster platform-wide redesign AND
future product velocity
Design Systems as Business Infrastructure
A growing payroll/HCM platform needed to migrate, modernize, and govern legacy design system while supporting active product delivery.
The challenge
Design leader, system strategist, governance owner, cross-functional partner.
> Figma Enterprise setup
> Nova design system migration
> Component governance
> Design QA standards
> Engineer handoff model
> Neuron/vendor handoff readiness
> Design system roadmap
My role + What I LED
Used AI-assisted workflows to accelerate documentation, component audits, design system site concepts, and prototype exploration.
Impact:
• Reduced design to engineering clarification cycles by ~30 to 40 percent
• Increased reusable component adoption across key flows (moving from inconsistent usage to majority system-driven UI)
• Cut time to produce net new screens by ~25 percent through system reuse
• Enabled parallel product workstreams without duplicating design effort
• Established 1 centralized system replacing multiple fragmented patterns and files
AI ANGLE + BUSINESS IMPACT
Next Up
AI-Accelerated Product Visioning
When I joined Auris, design lacked a cohesive operating model. Work was happening, but without consistent intake, prioritization, research alignment, or clear definitions of quality. This created friction across teams and made it difficult for design to operate as a strategic partner.
I saw an opportunity to build a system that would not only organize the work, but elevate the role of design across the organization.
I led the creation of a comprehensive DesignOps framework that established how design functions day-to-day and how it contributes at a leadership level. This included defining intake and prioritization models, building a design roadmap structure, introducing UX risk assessment into planning, and formalizing a Definition of Done that aligned design, product, and engineering.
I also built the foundational artifacts needed to support consistency and scale. This included a DesignOps handbook, design quality standards, research request workflows, usability testing structures, and leadership reporting formats that translated design work into business-relevant insights.
A key focus was ensuring these systems didn’t slow teams down. The goal was clarity, not process overhead. Every framework was designed to reduce ambiguity, improve decision-making, and create more space for high-quality design work.
The impact was immediate. Teams gained better visibility into design work, stakeholders had clearer expectations, and design was able to operate with greater confidence and consistency across initiatives.
This work established the operational backbone for design, allowing it to scale intentionally while maintaining both quality and velocity.
Project Overview
I built the operating system that allowed design to scale, align, and influence the business.
Building DesignOps From the Ground Up
My Role:
DesignOps architect, team leader, process builder.
What was Built:
DesignOps handbook
UX risk scoring
Definition of Done
Design quality bar
Research request process
Monthly leadership updates
Critique and review templates
Neuron handoff checklist
Design roadmap structure
MY ROLE + WHAT I BUILT
I care about systems because they protect creativity. The goal was not more process. It was less chaos, better decisions, and more room for craft.
Business Impact:
• Improved project intake clarity, reducing back-and-forth alignment cycles by ~30 percent
• Increased stakeholder confidence in design through consistent delivery and communication
• Reduced design rework caused by unclear requirements and misalignment
• Established a repeatable design roadmap model used across initiatives
• Increased research participation and usability validation across core product areas
HUMAN ANGLE + BUSINESS IMPACT
Design needed clearer intake, prioritization, quality standards, research rituals, roadmap visibility, and executive communication.
THE CHALLENGE
AI-Accelerated Product Visioning
Introduced AI as a force multiplier for design, not a replacement.
Next Up
McDonald's
As Auris began exploring the future of its product experience, there was a growing need to move quickly from abstract ideas to tangible concepts that leadership could evaluate and align around.
Traditional design workflows were not fast enough to support the pace and ambiguity of these conversations. I saw an opportunity to integrate AI into the design process in a way that would accelerate thinking without sacrificing quality or intention.
I led a series of AI-assisted design explorations focused on reimagining key product areas, including payroll, people management, onboarding, and system navigation. These efforts combined rapid prototyping, concept generation, and structured synthesis to create clear, compelling representations of future-state experiences.
Using AI tools, I was able to quickly iterate on interface directions, generate early design systems concepts, and support the creation of narrative-driven prototypes that helped translate complex ideas into something concrete and understandable.
However, the value of this work was not just speed. It was about improving the quality of conversations. By bringing more developed concepts into early discussions, teams were able to align faster, ask better questions, and make more informed decisions.
I approached AI as a collaborator rather than a replacement. The role of design leadership remained critical in shaping direction, refining outputs, and ensuring that what was being created aligned with both user needs and business goals.
This work demonstrated how AI can meaningfully enhance product design workflows, helping teams move from ambiguity to clarity in a fraction of the time, while still maintaining a strong human-centered perspective.
Project Overview
Leadership needed to see future-state product possibilities quickly across payroll, people, onboarding, and operations experiences.
The challenge
Design strategist, AI workflow lead, concept director.
> Created AI-assisted prototypes
> Explored Nova design system site concepts
> Generated future-state UX directions
> Synthesized product opportunities
> Translated ideas into executive-ready visuals and narratives
My role + What I LED
Used AI-assisted workflows to accelerate documentation, component audits, design system site concepts, and prototype exploration.
Impact:
• Reduced concept-to-prototype time from weeks to days
• Increased speed of iteration across product directions by 2 to 3 times
• Enabled more design exploration without increasing team bandwidth
• Improved early-stage alignment, reducing late-stage redesign risk
• Delivered multiple future-state concepts in parallel for leadership evaluation
AI PHILOSOPHY + BUSINESS IMPACT
Break through the noise
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