I view AI as a collaborative tool that helps me think faster, explore more possibilities, and improve the quality of my design process. I use tools like ChatGPT, Claude, Cursor, and Figma AI capabilities throughout different stages of product design, from research planning, brainstorming, prototyping, edge-case exploration, and refining workflows.

Rather than replacing the design process, I use AI to accelerate exploration and challenge my thinking. For example, I use it to generate alternative solutions, identify potential usability issues, explore edge cases, and quickly iterate on ideas. I still rely on user research, validation, and product context to make informed design decisions.

I’ve designed products across B2B and B2C environments, including enterprise SaaS platforms, analytics tools, consumer experiences, and early-stage products.

My experience ranges from designing self-service analytics and data visualization workflows at Schneider Electric to improving consumer experiences at TwinSpires and building digital solutions for startups and small businesses. Working across different environments has helped me adapt my design approach based on the users, complexity, and goals of each product.

My UX background is rooted in understanding users, identifying problems, and translating insights into meaningful product solutions. I have experience conducting both qualitative and quantitative research, including user interviews, usability testing, surveys, competitive analysis, journey mapping, heuristic evaluations, and analyzing behavioral data.

Throughout my career, I’ve used research to guide product decisions across different environments — from early-stage startups and small businesses to consumer products and enterprise platforms. My approach is to combine user needs, business goals, and technical considerations to create experiences that are useful, scalable, and impactful.

To me, collaboration means creating shared understanding. The best products come from bringing together different perspectives from designers, engineers, product managers, stakeholders, and users.

I see my role as helping teams align around the problem we are solving by using research and design artifacts to communicate ideas, explore tradeoffs, and make informed decisions. I value being open to feedback, asking questions, and working together toward the best outcome.

My process usually starts with understanding the problem before jumping into solutions. I begin by gathering context through stakeholder conversations, user research, existing data, and understanding the current workflow.

From there, I synthesize insights to identify opportunities, define user needs, and explore potential solutions. I typically move through wireframes, prototypes, and iterative testing to validate ideas and reduce uncertainty.

The process is flexible depending on the project. For example, on enterprise products I may spend more time understanding complex workflows and system constraints, while on earlier-stage products I may focus more on discovery and validating assumptions.

I believe good design is not about following a fixed process. It’s about asking the right questions, reducing uncertainty, and continuously learning throughout the product lifecycle.

I enjoy working on complex products because they often require balancing many different needs. My approach is to break complexity down by understanding core user goals, workflows, and the decisions users are trying to make.

Through research, information architecture, and systems thinking, I look for opportunities to simplify experiences while still supporting the flexibility that advanced users need. My goal is to create products that feel approachable without removing important functionality.

One project I’m especially proud of was designing a self-service analytics platform at Schneider Electric (view here). The goal was to help enterprise users transform complex sustainability data into actionable insights without relying heavily on technical teams.

I worked across the full product lifecycle, from understanding user workflows through customer interviews and stakeholder collaboration, to designing visualization builders, dashboards, and sharing workflows.

A major challenge I faced was where users needed advanced functionality without increasing complexity. An early visualization builder design used a three-section layout. Through design exploration, I identified that the space available for the visualization and table views was limiting users’ ability to understand complex data.

I redesigned the experience to use a more flexible viewing approach, allowing users to switch between chart, table, or combined views. This improved the ability to analyze larger datasets while keeping the workflow approachable. The experience reinforced the importance of designing for the user’s actual workflow rather than simply fitting more functionality into the interface.