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Stop 22 · Interview PreparationTechnical · 8/8

Debugging Model Performance Issues

Part of the AI Engineer Roadmap

In short

A practical skill interviewers test directly — given a model performing poorly, can you systematically narrow down whether it's data, features, architecture, or training issues.

How to learn this

  1. 1Build a mental checklist: data quality, label quality, feature leakage, overfitting, underfitting.
  2. 2Practice narrating your debugging process out loud, not just the final fix.
  3. 3Review a real bug you hit in a project and be ready to tell that story in an interview.

More technical at this stop

ML Fundamentals & MathDeep Learning & ArchitecturesLLM/GenAI ConceptsSystem design (AI/ML)RAG & Vector Database DesignPrompt Engineering QuestionsModel Evaluation & Trade-offs

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