https://chcha.in/tags/mlops/Recent content in MLOps on Dev PortfolioHugoen-usTue, 12 May 2026 00:00:00 +0000https://chcha.in/challenges/100-days-of-mlops/Tue, 12 May 2026 00:00:00 +0000https://chcha.in/challenges/100-days-of-mlops/The #100DaysOfMLOps challenge is a dedicated commitment to bridging the gap between machine learning model development and operational production. Over 100 days, I am learning and implementing tools to automate, monitor, and scale ML pipelines. 🎯 Learning Objectives Data & Model Versioning: Tracking dataset versions and model artifacts using tools like DVC and MLflow. Pipeline Automation: Building automated pipelines for data prep, training, and validation. Model Deployment: Packaging models as microservices (FastAPI/Docker) and deploying to Kubernetes.