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What Gaurav demonstrated
Built and verified an end-to-end modernization of a legacy fleet-maintenance service: fixed the wear calculation, handled missing service readings safely, corrected the nightly report’s average and crash path, and repaired a hidden mileage-conversion bug in the helpers. Also added the missing regression test, documented the agent review in NOTES.md, and produced a breakdown-risk analysis grounded in the actual fleet history data rather than assumptions.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- Directed AI Agent Auditing
- Acceptance-Driven Verification
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