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What Gautam demonstrated
Built and verified an end-to-end modernization of a legacy fleet-maintenance service: fixed the wear calculation, handled missing service readings safely, repaired the nightly report, corrected a hidden mileage-conversion bug in the helpers, and added the missing test. Also produced a data-driven breakdown-risk analysis that follows the labeled fleet history rather than the misleading mileage/age assumption, with NOTES.md documenting the agent audit and verification steps.
- Leakage-Free Bug Diagnosis
- Directed AI Prompting and Audit
- Data-Driven Feature Interpretation
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