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What Shresti demonstrated

Built and verified a full legacy-code modernization for KM-Waechter: fixed the service-wear calculation, handled missing readings safely, repaired the nightly report’s average and crash path, corrected the quiet mileage-conversion helper bug, and added the missing regression test. Also delivered a data-driven breakdown-risk analysis that follows the fleet_history.csv signal rather than the misleading mileage/age assumption, with documented acceptance checks in NOTES.md.

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

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