Operations built for continuous delivery

Fast, reproducible CI/CD

Investing in AI operations means being confident that every experiment, model, and feature can move from idea to production in a repeatable, reliable way. I build pipelines that make speed safe.

• Dagger-based reproducible CI/CD pipelines
• GitOps and Kubernetes deployment automation
• Model versioning, A/B testing, and rollback playbooks

MLOps that stays out of the way

Great operations should feel invisible. I design MLOps workflows that let researchers and engineers focus on models and features while the infrastructure handles the rest.

• Training and inference monitoring
• Data drift, model drift, and alerting
• Cost-aware resource scheduling and autoscaling

Security-first operations

Every pipeline I build includes security by default: minimal attack surfaces, secrets management, signed artifacts, and audit trails. Because fast delivery should never mean careless delivery.