What Gurudharshan demonstrated

Built and verified an end-to-end modernization of the KM-Waechter legacy repo: fixed the service-wear logic with true division, handled missing readings safely, corrected the nightly report’s average and crash path, repaired the quiet mileage-conversion helper bug, 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 was audited and why.

• Leakage-Free Bug Diagnosis
• Directed AI Agent Auditing
• Data-Driven Risk Analysis
• Acceptance-Driven Verification