ML Platform
MLevis on Vertex AI
A standardized ML delivery framework built around Vertex AI pipelines.
The problem
Hosted-Airflow-based ML workflows carried high maintenance overhead, too many handoffs, and slow deployment cycles.
What I built / led
Moved ML orchestration into Vertex AI pipelines and standardized delivery patterns across teams.
Outcome
Résumé metrics report maintenance cost reduced by more than 80%, team handoffs reduced from 8 to 2, and deployment time reduced from 180 days to 14.
Technology
Vertex AI Pipelines · Python · CI/CD · GCP