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What Vaibhav demonstrated
Built an end-to-end legacy-code modernization for KM-Wächter: fixed the service-wear calculation, handled missing service readings safely, corrected the nightly report’s average and crash path, and repaired the hidden mileage-conversion helper bug. Also added the missing regression test, produced a data-driven breakdown-risk analysis from fleet history, and documented what the AI agent got wrong and how its work was verified.
- Leakage-Free Bug Diagnosis
- Directed AI Agent Auditing
- Data-Driven Risk Analysis
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