Portfolio
Work
My work sits at the intersection of marketing operations and GTM engineering. Over the last 15 years, that has meant designing GTM infrastructure, leading global marketing operations teams, and building the software, data, and attribution frameworks that connect execution to pipeline.
A selection of that work is below. For the full career behind it, see My Career or Resume.
Enterprise marketing operations work with measurable business outcomes: campaign governance, lead management, database cost control, pipeline visibility, and AI-enabled operating models.
Marketing-to-Sales handoff and pipeline visibility
Rebuilt the SQL-to-opportunity handoff by operationalizing Stage Zero Opportunities, increasing marketing-sourced opportunity count 115% YoY and marketing-sourced pipeline 66% YoY.
AI adoption model for governed GTM work
Built a practical AI operating model across engineering acceleration, governed campaign workflow augmentation, and documentation that helps teams adopt complex GTM systems.
Campaign operations platform
A self-serve campaign operations platform for planning, forecasting, task handoffs, documentation, and governed execution — integrating Marketo program automation, Asana, UTM tracking, and Snowflake-backed campaign hierarchy. Increased campaign build efficiency by 20%.
Cross-functional data hygiene and platform savings
Led a governance initiative that removed 400,000+ records, cut the marketing database by 30%, and saved ~$80K on Marketo renewal while aligning Privacy, Sales Ops, BI, Salesforce, and Finance.
Technical builds that demonstrate the GTM engineering craft — Python, SQL, API integration, data modeling, process design, and AI workflow design — applied to domains beyond marketing ops.
Alert stream consumer + anomaly explorer
A data pipeline that consumes the ANTARES astronomical alert stream in real time, filters for anomaly candidates from Rubin/ZTF survey data, persists them to SQLite, and serves them through a Flask web interface for exploration.
Data harvesting + web application
A full-stack Flask application that harvests personal best lap times from Assetto Corsa game files, parses and normalizes the data, and surfaces it through a web UI with per-car and per-track views, split analysis, and Steam OAuth auth.