Let’s talk about product, data, and applied AI systems.

Based in the San Francisco Bay Area and open to Bay Area, hybrid, and remote opportunities across product analytics, business analysis, AI systems, data operations, and technical product roles.

I work at the intersection of product analytics, data systems, applied AI, and business operations. My focus is building decision infrastructure: SQL/Postgres workflows, executive dashboards, KPI frameworks, QA checks, budget and cost models, churn analysis, product usage analysis, and AI-assisted workflows that turn raw operating data into clear business and product decisions.

I bring a hybrid skill set across product management, business analysis, analytics, and AI workflow design. That means I can translate stakeholder needs into requirements, define metrics, structure datasets, build dashboards, validate outputs, document workflows, and connect insights back to product and operational decisions.

My recent work includes BudgetDB, an operations analytics warehouse; SQL reconciliation systems; executive dashboards; Python-based churn modeling; AI workflow design; and Chorus, an AI-agent learning product focused on workflows, agent skills, memory, and decision systems.

The work shown here uses synthetic or anonymized data where needed, but the systems reflect practical patterns used in real product, analytics, operations, and AI environments.