Designing, scaling, and governing enterprise AI systems
Architect end-to-end ML systems with proven design patterns
Distributed training, inference optimization, and cost management
Feature stores, model registries, vector databases, and infrastructure as code for ML
Navigate AI regulations, risk frameworks, and responsible AI practices