Tech I used: React + TypeScript for virtualized table (1.2M rows without lag), TanStack Virtual, Recharts, and Claude API for AI-powered query & insight.
Right panel: User asks "Show me all eval failures from last week" and Claude gives key insights - data leakage, prompt injection, low confidence outputs with recommendations.
Result: Shipped ML changes that moved accuracy from 70% to 87.4%. Built full-stack product surface that renders large datasets efficiently. Ready to build same for your AI Lab.