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