At Apple, I work across voice, machine learning, product, and design, helping teams turn ambiguous problems into systems people can rely on.
My work moves between technical depth and product direction: shaping strategy, establishing metrics, using data to make decisions, and building the collaboration needed to ship.
Earlier, I spent seven years building fraud and abuse systems. I studied pure math, which still shapes how I break down problems and evaluate evidence.
Outside work, I'm usually carrying a camera or playing guitar.
Much of my recent work is confidential, but these are the disciplines I bring together.
I lead cross-functional work from an ambiguous idea to a shipped product, connecting user needs, technical possibilities, design judgment, and practical constraints.
I work on voice systems that understand conversations as they happen, including machine learning that runs privately and responsively on consumer devices.
I establish metrics, design experiments, and use data to make difficult product decisions legible. The goal is evidence that helps a team act, not measurement for its own sake.
I bring engineering, product, design, and research perspectives into the same room, create a shared understanding of the problem, and help teams move forward together.
I mostly photograph landscapes and close-up details with a Sony A7 IV and a small set of lenses.
I mostly make guitar-driven music with baritone guitars and lap steel. It usually lands somewhere between metal and jungle. Nothing is released yet; these are works in progress.
I'm based in Oakland. Email is the best way to reach me.