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What Sinjini demonstrated

Built a complete modernization and bug-fix pass for a legacy fleet-maintenance service: corrected the wear calculation, handled missing service readings safely, fixed the nightly report’s average and crash path, and repaired a hidden mileage-conversion bug in the helpers. Also added the missing regression test, wrote a data-driven breakdown-risk analysis that follows the fleet_history.csv signal rather than the mileage assumption, and documented the review process in NOTES.md.

  • Leakage-Free Bug Diagnosis
  • Directed AI Code Review
  • Data-Driven Feature Selection
  • Acceptance-Driven Verification

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