Darshan Patil completed AI-Assisted Code Modernization with IBM
What Darshan demonstrated
Built a complete legacy-code modernization for KM-Waechter: fixed the wear calculation, handled missing service readings safely, corrected the nightly report’s average and crash path, and repaired a hidden mileage-conversion bug in the helper layer. Also added a data-driven breakdown-risk analysis that ranks cars by service risk using the signals the fleet history actually supports, and documented the verification process in a clear NOTES.md.
- Leakage-Free Feature Engineering
- Honest Model Evaluation
- Directed AI Agent Auditing
- Acceptance-Driven Verification
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