Full Deep Learning System — Training, Optimisation & Deployment

I will deliver a complete deep learning system for your use case — from architecture design through training infrastructure setup, model training with experiment tracking, optimisation for deployment, production serving, and monitoring — covering every layer of the deep learning lifecycle in a coherent, production-ready system. This is the most comprehensive deep learning engagement I offer, designed for organisations that need a production deep learning system built and deployed by an experienced practitioner who understands both the research and engineering dimensions of the discipline.

The system covers architecture design and justification, GPU training infrastructure setup, training pipeline with MLflow experiment tracking, model optimisation (quantisation and ONNX export), FastAPI serving with Docker, cloud deployment with auto-scaling, inference monitoring, and comprehensive technical documentation. A 7-day post-deployment support window is included.