AI Marketing Engineering
Building AI-powered systems that turn marketing data into measurable growth.
An architecture pattern for AI-engineered Google Ads systems: BigQuery + Google Ads Data Transfer, Python pipelines wrapping prompts and SQL, decisions as data, evals that measure accuracy before anything touches the account. Search term and keyword management is the worked example.
How I work with Claude Code as a paid search specialist building applied AI systems: the instruction files and mechanical guards that make agent-built code safe to run unattended, the loop from BigQuery through an LLM to the Google Ads API, and the review app the team works in.