Built a complete MLOps pipeline – looking for your feedback

Short summary

Developer shares a production-ready MLOps pipeline project with data versioning (DVC), experiment tracking (MLflow), hyperparameter tuning (Optuna), FastAPI serving, Docker containerization, Kubernetes deployment, and monitoring via Prometheus/Grafana. GitHub project available for community feedback on workflows, manifests, and drift detection.

• •Complete MLOps implementation covering the full ML lifecycle: data versioning, experiment tracking, hyperparameter tuning, and model serving
• •Production-ready infrastructure stack includes Docker, Kubernetes (Minikube), GitHub Actions CI/CD, and observability with Prometheus/Grafana
• •Open-source project actively seeking feedback on GitHub Actions workflows, Kubernetes manifests, and drift monitoring implementation

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