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What Shideo demonstrated

Built and verified a full legacy-code modernization for a fleet-service tool: fixed the wear calculation, handled missing service readings safely, corrected the nightly report’s average and crash path, and swept helper utilities to catch a hidden mileage-conversion bug. Also added the missing regression test and wrote a data-driven breakdown-risk analysis that prioritizes km-since-service and load factor over misleading mileage assumptions.

  • Leakage-Free Bug Diagnosis
  • Directed AI Agent Auditing
  • Data-Driven Feature Interpretation
  • Acceptance-Check Verification

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