Lead Product Designer
I'm a product designer who works on data-heavy, high-stakes platforms. Most of my work happens before a single screen is created: finding the framing that makes the design problem solvable, and returning to it when execution pressure starts pulling everyone away from it.
These five projects span 2023 to 2026 — a period when AI moved from background noise to the center of enterprise software. Each one reflects a different moment in that shift: a product built before AI was in the room, systems designed to introduce AI without breaking trust, and most recently, products where AI is the core workflow. The design challenge at every stage was the same — figuring out what users were actually ready to trust AI with, and building for that honestly.
Mid 2026 · Phase 1 release Sep 2027 · AI is the product
A workflow for creating deals from AI-extracted documents, designed around imperfect extraction rather than assumed completeness. AI was also my thinking partner in solving it.
Early 2026 · Release 2027 · AI in product + process
Digitizing a manual, relationship-dependent order entry workflow for two audiences with opposing needs — without making automation feel like a threat to either side.
2024–early 2025 · AI entering the product for the first time · Project ongoing
Introducing AI-driven automation into a trust-sensitive financial platform without eroding the system it was built on. Multi-phase design leadership across collection, extraction, mapping, and submission.
Mid 2024–2025 · AI-readiness shaped the mandate · Dev implementation ongoing
Rebuilding a fragile, platform-wide calculation engine to support sophisticated analytics — without breaking everything already depending on it.
Early 2023 · Pre-AI integration era
Turning a vague post-merger synergy charter into a user-driven product — while influencing system-level decisions that shaped how future work at iLEVEL could be built.
About
I do my best work before anyone's committed to an answer. Once the team is heads-down building, it's hard to surface and ask whether we're solving the right thing. So I try to get there first.
There's always pressure to move fast and ship. AI has made that pressure harder to resist. I've found that someone has to stay oriented to the actual question underneath the work, not just the immediate task. That's usually been me.
Becoming a mom made that instinct even stronger. These days, I think a lot about creating the right conditions -- for a product or a child -- so they can grow in ways I didn't plan for. I can't control every outcome, but I can build a foundation solid enough that they have room to learn, adapt, and become something even better than I imagined.