Cloud & Infrastructure
MLOps & Automated Retraining Loops
Containerized model deployment, continuous drift monitoring, automated statistical KS testing, and CI/CD for machine learning pipelines.
Core Competency Rating93%
Architecture Blueprint
Real-time telemetry logging of model inference streams with automated p-value drift alerts.
Key Technical Capabilities
Automated Concept & Data Drift Detection
Containerized Model Retraining Triggers
Model Registry Versioning & Rollbacks
99.99% Production Inference Uptime SLA
Tooling & Production Stack
KubeflowMLflowApache AirflowDockerKubernetesPrometheus