I’m a product designer with 4 years of experience designing B2B SaaS, AI-powered tools, and enterprise systems for complex, high-stakes environments.
My work focuses on creating clarity within complexity: translating ambiguous problems into scalable systems, intuitive workflows, and thoughtful interactions. I’m especially interested in how humans collaborate with intelligent systems, and how design can build trust in AI-driven products.
I partner closely with product managers, engineers, and researchers, and I’m known for my systems thinking, UX clarity, and ability to move quickly without sacrificing quality. I’m comfortable working across the full lifecycle — from 0→1 exploration to refinement and iteration at scale.
Outside of work, I’m drawn to psychology, fiction, and travel. I’m based in Brooklyn, NYC.
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Understanding the problem from the user's POV is key. I actively engage with users before, during, and after delivery to ensure the experience is seamless and feedback is incorporated.
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Crafting a logical information hierarchy helps the user work their way through a product. I structure content in the UI in a way that helps users fulfill their goals easily.
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All products are a team effort. I actively work with PMs, researchers, and other designers to ensure that I consider all viewpoints, align the design with business needs, and scope the design properly.
Visualizing concepts aids communication. I create wireframes for multiple solutions in order to easily get feedback from stakeholders, iterate quickly, and test the feasibility of design directions.
Users expect consistency and a cohesive experience. That's why I take the time to understand how a project I am working on fits in with the larger system (product) and leverages consistent interactions.
The final touch of a product is a stunning UI. I create high-fidelity mockups, prototypes, icons, and illustrations to tie together an intuitive UX with a clutter-free interface.
0→1 AI feature embedded in a mission-critical IDE
Designed an inline GenAI experience that helped engineers generate PLC code in context, driving 1,000+ trial requests and multiple patent disclosures.
Multi-agent AI system for complex workflows
Designed a human–AI collaboration model that guides controls engineers through planning and building PLC projects end-to-end.
Enterprise access control designed to scale
Created a 0→1 admin console for roles and permissions, establishing a flexible system that evolved with future platform needs.
High-volume payment flow with measurable business impact
Streamlined a redirect-heavy checkout into a focused, embedded experience, saving the business $0.05 per transaction at scale.