I’m ready to turn a promising idea into a working, production-grade AI solution and need a developer who can take the lead from concept through deployment. Together we’ll refine the use-case, choose an appropriate machine-learning approach, prepare the data, and build a clean, well-documented codebase—Python is my first choice, but I’m open if you can justify another stack. Your role will cover model training and validation, setting up the inference pipeline, and packaging everything behind an API or lightweight front-end so end users can access it without friction. Familiarity with TensorFlow or PyTorch, plus cloud tooling on AWS, GCP, or Azure, will help us move quickly. I value transparent communication, milestone-based progress demos, and clear hand-over documentation so I can maintain the system after launch. Tell me about similar AI projects you’ve shipped, which techniques you’d recommend for an initial proof of concept, and how long you expect each milestone to take.