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What Ayesha demonstrated

Built and verified a full legacy-code modernization for KM-Waechter: fixed the wear calculation, handled missing service readings safely, corrected the nightly report’s average and crash case, found the quiet km-to-miles helper bug, and added the missing regression test. Also delivered a data-driven breakdown-risk analysis that follows the fleet history data rather than the misleading mileage assumption, with clear acceptance checks and documented review notes.

  • Leakage-Free Bug Diagnosis
  • Directed AI Agent Auditing
  • Data-Driven Risk Analysis
  • Acceptance-Driven Verification

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