I need to move an existing machine-learning codebase from a local environment to a fresh Amazon EC2 instance. The repository is pure Python (with a few typical ML dependencies such as pandas, scikit-learn and PyTorch), and once it’s on EC2 it must: • pull raw data from S3, • read and write structured results in an RDS database, and • trigger selected preprocessing and inference tasks through AWS Lambda events. I will provide the Git repo, current environment file and AWS credentials. Your job ends when the model trains and serves predictions on EC2 exactly as it does locally, all three AWS services are wired up, and the setup scripts (CloudFormation, Terraform or plain bash—your call) let me recreate the stack from scratch. Show me in your bid where you have handled similar EC2 + S3/RDS/Lambda deployments; concise, experience-focused notes are perfect.