A little about me
A spatial thinker.
A practical builder.
Curious by default.

My foundation is in geographical information science. It taught me to look for patterns, question assumptions, and understand the context behind a number.
Today, I bring that perspective to enterprise data engineering and product analytics. I’m especially interested in AI engineering: building interfaces and workflows that make AI capabilities useful in practice.
GIS remains part of how I think—from modeling bikeshare demand in Manhattan to building discovery tools with open geographic data.
Data & engineering
SQL · Python · Databricks · Snowflake · Oracle · Microsoft SQL Server · ETL/ELT · Data modeling · MDM · Data validation · OOP
AI & development
Claude · Claude Code · AI-assisted development · Prompt engineering · APIs · JavaScript / TypeScript · R
Cloud & delivery
AWS S3 · Azure DevOps · CI/CD · Git · Agile / Scrum
Design & geospatial
Figma · UI/UX · ArcGIS Pro / Online · QGIS · Predictive GIS modeling
Beyond the code
Revived the club, secured multi-year funding, and mentored GIS projects.
Led Manhattan bikeshare-demand modeling with space-time cubes and fishnet-based AI.
Bringing the same team-first mindset to the court.