Accelerating ML Experimentation in MLflow
This fall, I interned with the ML team, which is responsible for building the tools and services that make it easy to do machine learning on Databricks. During my internship, I implemented several ease-of-use features in MLflow, an open-source machine learning lifecycle management project, and made enhancements to the Reproduce Run capability on the Databricks...
Automating away engineering on-call workflows at Databricks
A Summer of Self-healing This summer I interned with the Cloud Infrastructure team. The team is responsible for building scalable infrastructure to support Databricks’s multi-cloud product, while using cloud-agnostic technologies like Terraform and Kubernetes. My main focus was developing a new auto-remediation service, Healer, which automatically repairs our Kubernetes infrastructure to improve our service availability...
