Strong, current depth across AI and machine learning, including supervised and unsupervised learning, deep learning, natural language processing, large language models, generative AI, agentic systems, and statistical modeling, with practical experience in LLMOps or MLOps, evaluation, and production model lifecycle management. Independently own selected high-impact AI use cases from problem framing and solution design through production deployment and the transition to operational ownership, bringing LLM, agentic, and applied AI approaches to bear where they fit.