
Building an ML model is just the beginning—deploying and maintaining it is the real challenge. I’ll guide you through MLOps workflows, including model deployment (AWS SageMaker, ECS, Kubernetes), monitoring, versioning, automation with CI/CD (GitHub Actions, Jenkins), and cloud infrastructure best practices. If you’re working on productionizing ML models, I can help you set up scalable pipelines and improve model performance.