Staff AI Analytics Engineer

Personal information

Application information

Questions

Have you ever built a solution that allowed non-technical users to explore or query data without writing SQL? *
When you connect an LLM to a structured database and a user asks a natural language question, the model can generate SQL that runs without errors and returns a result... but the result is subtly wrong because of a mismatch between how the data is modeled and what the user actually meant. This is one of the hardest problems in production text-to-SQL systems. Have you ever had to solve this problem in a real system? *
There are engineers who work with analytics tools (they configure dashboards, write queries, and consume existing data infrastructure). And there are engineers who build the analytics layer itself (they design the query engine, define how data is modeled and aggregated, and create the system others build on top of). Which of these two describes your experience most accurately? *
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