Verified Credential Download PDF
What Sudharsana demonstrated
Built a complete legacy-code modernization and verification pass for KM-Waechter: fixed the wear calculation, handled missing service readings safely, corrected the nightly report’s average and crash path, repaired a hidden mileage-conversion bug in the helpers, and added the missing regression test. Also delivered a data-driven breakdown-risk analysis that follows the fleet history rather than the naive mileage assumption, with acceptance checks and notes documenting what the AI agent got wrong and how the work was validated.
- Leakage-Free Bug Diagnosis
- Directed AI Code Review
- Honest Acceptance Verification
- Data-Driven Risk Analysis
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