Tensorflow, Pandas, MLops, Pytorch, Data Modeling, Numpy, Python, Spark, data pipelines, Evaluation frameworks, Retrieval-Augmented Generation, API-based model integrations, feature engineering, scikit-learn, deep learning frameworks, CI CD, big data tools, engineering best practices, Prompt orchestration, QA risk management, data transformations, GenAI applications, Tool-using agents, Agentic workflows, data quality management, model monitoring