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What shakthi demonstrated
Built a complete modernization and bug-fix pass for a legacy fleet-service repo: corrected wear calculation logic, handled missing service readings safely, fixed the nightly report’s averaging and crash path, and swept helper code to catch a hidden mileage-conversion defect. Also added a regression test, wrote a data-driven breakdown-risk analysis from fleet history, and documented the agent review process clearly in NOTES.md.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- Directed AI Agent Auditing
- Verification-Driven Debugging
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