About
Applied machine learning, built for production systems.
I am a machine learning engineer and data scientist with 6+ years of experience designing, implementing, and operating applied ML systems. My work sits at the intersection of machine learning, software engineering, platform reliability, and practical AI adoption.
Current Direction
My public technical work focuses on reusable infrastructure for enterprise AI agents: evaluation harnesses, traceability, observability, governance, and deployment patterns that help teams move from prototypes to reliable production systems.
- AI agent infrastructure
- Evaluation systems
- MLOps
- Observability
- Governed tool use
- Enterprise AI reliability
Why This Site Exists
This site is a public archive of my technical writing, open-source projects, talks, and field-facing work. It is designed to make reusable engineering contributions easier to find, cite, and build on.