I build Python/SQL systems that turn messy information into usable infrastructure: data pipelines, document-processing workflows, retrieval systems, dashboards, and AI-assisted automation tools.
My background combines software/data engineering with scientific training in economics and physics. I’m strongest where data, software, research judgment, and operational usefulness need to meet.
A deployed governed news-intelligence and editorial publishing system, from source ingestion and versioned contracts to human-gated publication, freshness health, and scheduled deployment.
A contracts layer for making AI and knowledge workflows inspectable, testable, and maintainable across repositories.
Applied economic and public-data systems combining survey data, reproducible analysis, and decision-oriented outputs.