Harsh Gaikwad completed AI-Assisted Code Modernization with IBM
What Harsh demonstrated
Built and verified a complete legacy-code modernization for a fleet service tool: fixed the wear calculation, handled missing service readings safely, corrected the nightly report, repaired a hidden mileage-conversion bug, and added the missing regression test. Also delivered a data-driven breakdown-risk analysis that identified km_since_service, avg_daily_km, and load_factor as the real predictors while rejecting odometer and age as misleading signals.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- Directed AI Prompting
- Verification-Driven Debugging
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