Sparql, Tensorflow, Pytorch, Data Science, Python, AWS, Sql, Gcp, Databricks, Azure, enterprise ontologies, embeddings, knowledge engineering, scikit-learn, big data infrastructure, vector databases, semantic retrieval, Cypher, enterprise knowledge grounding, GQL, semantic models, ML libraries, cloud environments, GenAI systems, graph query languages, RAG, semantic data systems, applied AI