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What Theo demonstrated

Built a complete legacy-code modernization for a fleet service tool: fixed the wear calculation, handled missing service readings safely, repaired the nightly report, corrected a hidden helper-module mileage 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 notes documenting what the AI agent got wrong and how the work was verified.

  • Leakage-Free Feature Engineering
  • Honest Model Evaluation
  • AI Agent Prompt Scoping
  • Verification-Driven Debugging

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