I'm currently a Product Designer at Whatnot, based in Colorado. With over a decade of experience, I have honed my skills at various agencies and in-house teams. I specialize in designing interfaces and guiding teams to build products from inception to launch, specifically for early-stage companies and emerging startups in fintech, ecommerce, AI, data, lifestyle, and healthtech. I have led teams in crafting strong brand identities and digital products for a wide range of clients, from startups to well-established brands like Specialized, Pearlizumi, Beats, Meta, Salesforce, Lyft, VF, Under Armour, Coachella, and Google.
I'm grateful for every project manager, strategist, copywriter, creative director, engineer, and designer I've teamed with — together, we've turned bold ideas into reality. Success is a team effort, and I celebrate the collective talent behind each project.
What I do, I design interfaces and help teams build products from 0 to 1, ensuring we meet business goals along the way.
Why I do it, I believe in building digital products that unite minimalism with playfulness, achieving clarity and efficiency. I seek partnerships with teams committed to creating not just human-centric solutions, but also products that positively impact the lives of those who use them.
How I do it,
Learn, by delving deep into the competitive landscape, user feedback, conducting market analysis, and facilitating surveys and workshops. Gather and distill these insights into a comprehensive and accessible document, setting the stage for product development.
Ideate, challenge norms through iterative explorations through sketching, interactive prototypes, haptics, animation, sound, and 3D renders, to illustrate ideas that are both good for the business and good for the user.
Develop, uphold the principle that an idea's merit lies in its realization, advancing through testing sessions and refinement towards production.
Realize, track key success metrics to gauge the project's impact and disseminate insights among stakeholders, ensuring collective learning and refinement post-launch.