2 skills found
CQRS and Event Sourcing patterns for scalable, auditable systems with separated read/write models. Use when building audit-required systems, implementing temporal queries, or designing high-scale applications with complex domain logic.
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
