Prasanth Nammi completed AI-Assisted Code Modernization with IBM
What Prasanth demonstrated
Built and verified a full legacy-code modernization for KM-Waechter: fixed the service-wear calculation, handled missing service readings safely, repaired the nightly report’s average and crash path, corrected the hidden km-to-miles helper bug, and added the missing regression test. Also produced a data-driven risk analysis from fleet_history.csv that prioritizes km_since_service, avg_daily_km, and load_factor while explicitly avoiding the misleading mileage/age assumption.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- Directed AI Agent Auditing
- Acceptance-Driven Verification
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