AI Data Platform Architecture with Prakhar Kumar Singh

For engineers designing an AI data agent or an AI-powered analytics application.

We will explore one architecture decision along the path: business question → semantic retrieval → metadata → SQL agent → query engine → results. Depending on your goal, we can discuss MCP tools, RAG, SQL validation, guardrails, observability or evaluation.

Outcome: a clearer view of component responsibilities, trade-offs and the assumptions you need to validate. The 30-minute session focuses on one design question.

Bring an anonymised diagram, your constraints and the decision you are working through. Do not share internal URLs, credentials or proprietary implementation details.