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What Yu demonstrated
Built a complete legacy-code modernization for KM-Waechter: fixed the wear calculation, handled missing service readings safely, repaired the nightly report’s average and crash path, corrected a hidden mileage-conversion bug in the helpers, and added the missing regression test. Also produced a transparent breakdown-risk analysis from fleet_history.csv that follows the data rather than the misleading mileage assumption, and verified the work with all 11 acceptance checks passing.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- Directed AI Agent Auditing
- Acceptance-Driven Verification
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