The mind behind
the machine.
I'm an AI Product Manager who lives at the intersection of machine learning, product strategy, and real-world deployment. My work spans computer vision systems, LLM pipelines, and enterprise data infrastructure — not as theory, but as shipped product.
At Rhombus Systems, I'm leading AI product development for a security-focused camera platform — from building an LLM-powered event detection system to boosting core model accuracy by 50% for critical alerts. Before that, at Crunchbase, I helped transform static data lists into predictive intelligence that drove measurable ARR growth.
My foundation in quantitative economics — forged at Stanford, Cal Poly, and UC Santa Cruz — gives me an unusual superpower: I can speak fluently with both ML engineers and executive stakeholders, translating model performance into business value and vice versa.
I believe great AI products are built on rigor, ethics, and empathy for the end user. That conviction drives everything I ship.
