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What Sanada demonstrated

Built and verified a full legacy-code modernization for a fleet service system: fixed the wear calculation, handled missing service readings safely, corrected the nightly report’s average and crash path, repaired a hidden mileage-conversion bug in shared helpers, and added a data-driven breakdown-risk analysis. The work was validated with an acceptance script and documented in NOTES.md with clear review notes on what the AI agent missed.

  • Leakage-Free Feature Engineering
  • Honest Model Evaluation
  • Directed AI Agent Auditing
  • Acceptance-Driven Verification

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