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What Ilyes demonstrated

Built a working legacy-code modernization for KM-Waechter: fixed the service-wear calculation, handled missing readings safely, repaired the nightly report, corrected a hidden mileage-conversion bug in the helpers, and added a breakdown-risk analysis in analyze.py. The candidate also documented what the AI agent got wrong and verified the repo with an acceptance script before handing it back.

  • Leakage-Free Bug Diagnosis
  • Directed AI Agent Review
  • Data-Driven Risk Analysis

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