Own the data architecture end to end, from the moment data lands in our systems through ETL and transformation, extracts, and the dashboards stakeholders rely on.
Own devops and infrastructure for the AI engineering team end to end. Design and own the platform architecture underlying our AI engineering systems, from ingestion through serving.
Architect and build production systems across a multi language stack: C#/.NET services, Python AI and data pipelines, and occasional TypeScript
Set the example for an AI forward, high technical standard across the broader engineering organization, leading through craft rather than organization wide authority
