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What Ashwin demonstrated

Built and verified a full legacy-code modernization for KM-Waechter: fixed the service-wear calculation, handled missing service readings safely, corrected the nightly report’s average and mileage conversion, added the missing regression test, and validated the repo with an 11/11 acceptance check. Also produced a data-driven breakdown-risk analysis that follows the fleet history rather than the misleading mileage assumption.

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

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