I'm a data scientist who builds the full stack of a data product — from the probabilistic model at its core to the app that ships it. Over 10 years at fast-moving companies I've built production ML and forecasting systems, run large-scale experiments, and turned messy data into decisions. Lately I work where Bayesian modeling, LLM and agent tooling, and full-stack engineering meet: PyMC models that sample in the cloud, MCP servers that give AI agents real capabilities, and interactive apps built with React, Next.js, and Rust/WebAssembly.
Companies I've Worked With
What I Work On
Bayesian & probabilistic modeling
Design and fit models for inference, forecasting, and decisions under uncertainty.
Production ML & forecasting at scale
Build forecasting and ML systems that run in production — plus the experimentation frameworks to measure them.
LLM & AI engineering
Build agentic tooling and MCP servers, integrate the Claude API, and ground outputs with evals and citations.
Full-stack data products
Ship end-to-end: data pipelines, APIs, and interactive front-ends — then deploy and self-host them.
Education
Master of Science in Artificial Intelligence
University of San Francisco
Bachelor's in Neuroscience
Rice University
Recent Adventures
Black Butte
Grandview, Oregon
Mt Bachelor
Sisters-Millican, Oregon
Paulina Lake
Sisters-Millican, Oregon