AI Lab Evaluation Platform for Model Performance MonitoringAI Lab Evaluation Platform for Model Performance Monitoring
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Naeem's avatar
Naeem Khan
• Oct 14
This is AI Lab Eval Platform I built for data science teams - monitors AI model performance, eval results, and failures in real time.
Problem I solved: Finding where AI systems are wrong. I designed evals to test accuracy on large complex research datasets (1.2M rows).
Key features: Accuracy tracking (87.4% +2.1% improvement), Eval Failures detection (23), Dataset Size handling, Accuracy chart over 8 experiments.
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.
Desktop Apps DevelopmentFrontend DevelopmentReact Native DevelopmentNext.jsReactTypeScript
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gayathri's avatar
gayathri p
• 2d
That looks cool!
Naeem's avatar
Naeem Khan
• 2d
Thnx
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