Lead Applied AI/ML Engineer (Solutions Architecture) @ Databricks | IEEE Senior Member
I build evaluation and safety infrastructure for AI systems. Built MLflow's third-party scorer framework (Phoenix, TruLens, Guardrails) and the first MLflow tracking integration for Inspect AI.
- AI evaluation infrastructure - Third-party scorer framework for MLflow connecting Phoenix, TruLens, and Guardrails AI to MLflow's evaluation pipeline
- AI safety tooling - MLflow tracking hook for the UK AI Safety Institute's evaluation framework, with artifact logging and real-time event streaming
- Runtime security - Hardened LlamaIndex against code execution, filesystem I/O, and eval() injection vulnerabilities
- ML infrastructure - uv package manager support for MLflow model logging, serverless GPU deployment plugin on PyPI
Deploy MLflow models to serverless GPUs (T4 to H200): pip install mlflow-modal-deploy
Practical Machine Learning on Databricks (Packt, 2023)
The Semantic Illusion (arXiv, 2025)
Learning to Translate with Products of Novices (TACL, 2013)
Blog: Evaluating LLMs with TruLens | Third-Party Scorers on mlflow.org
ODSC AI East 2026 (Boston) | TechFutures 2025 (NYC) | Data Con LA | Hevo Data Panel | Databricks Community
