deploy

Deploys trained ML models to production via REST APIs, Docker containers, Kubernetes clusters, with data validation, error handling, and performance monitoring.

Packages and builds custom AI models with Cog for Replicate deployment. Creates cog.yaml and predict.py, builds Docker images, handles GPU/CUDA setup, and ports Hugging Face models.

Builds production ML systems with PyTorch 2.x, TensorFlow, and modern frameworks for model serving, feature engineering, A/B testing, monitoring, and infrastructure.