Workflow Deep Dive

LinkedIn Draft — Workflow (2026-01-06)

🚀 End-to-end MLOps retraining loop

Short, advanced explainer — practical & principle-focused.

Workflow
1️⃣ Data versioning (DVC) ensures reproducibility.
2️⃣ Kubeflow pipelines orchestrate training stages.
3️⃣ Model registry controls promotions.
4️⃣ Prometheus/Grafana monitor live drift KPIs.

Key takeaway: Confidence > speed. Guardrails and observability turn velocity into reliability.

🔗 Deep dive: https://neeraja-portfolio-v1.vercel.app/workflows/mlops-feedback-loop

mlops #aiops #automation #python