I build production data products in Palantir Foundry, from governed pipelines and ontology-backed applications to AI evaluation workflows and executive decision tools.
My work sits between engineering and the business. I turn operational problems into systems that people can use, verify, and maintain.
- Building end-to-end Foundry applications across data ingestion, transformations, ontology, and user-facing workflows
- Designing LLM evaluation systems with human-reviewed reference data, model comparisons, and production quality gates
- Connecting CRM, financial, and operational data into reliable decision tools
- Developing OSDK and React applications on top of governed enterprise data
- Improving data lineage, schema quality, and deployment safety in live environments
Most of my recent work is in private enterprise environments, so the code is not public. I use this profile to share the projects, patterns, and tools I can make available.
Foundry: Pipeline Builder, Code Repositories, Ontology, Workshop, OSDK
Data: Python, PySpark, SQL, Kafka, Pandas
Applications: TypeScript, React, APIs
Applied AI: LLM evaluation, model comparison, structured outputs, agent workflows
A streaming data engineering project built with Spark and Kafka.
