retrieval-augmented generation (RAG), Large Language Models (LLMs), Apis, Metadata Management, Data Lineage, Sql, Testing Frameworks, Data Quality, Data Governance, Python, agentic AI, model governance, data pipelines, Regulatory Compliance, risk management frameworks, data integrations, Access Control, privacy standards, data processing solutions, responsible AI practices, AI model evaluation techniques, observability

retrieval augmented generation (RAG), Java, Sql, Scalability, Docker, Distributed Systems, Fault Tolerance, Python, Kubernetes, embeddings, AI orchestration frameworks, vector search, agentic AI, LLMs, cloud native architectures, production-grade observability, Go, vector databases, semantic retrieval, NoSQL data stores, CI/CD pipelines, backend services

Spark, Time Series Analysis, LLM RAG, Anomaly pattern detection, Automation Intelligence, Log Parsing, RCA activities