data preparation , model selection , probability , Retrieval-Augmented Generation (RAG) systems, Large Language Models (LLMs), Tensorflow, Deep Learning, Git, Pytorch, Machine Learning, Python, Agents, Reasoning patterns, Optimization, Feature engineering, Production performance considerations, linear algebra, Maintainable code, Orchestration frameworks, Testing strategies