What Anton demonstrated

Built and verified an end-to-end modernization of a legacy fleet-maintenance service: corrected the wear calculation, handled missing service readings safely, fixed the nightly report’s average and crash path, and repaired a hidden mileage-conversion bug in the helpers. Also added the missing regression test, preserved the business rules, and produced a data-driven breakdown-risk analysis grounded in the actual fleet history rather than the obvious but misleading mileage assumption.

• Leakage-Free Feature Engineering
• Honest Model Evaluation
• Directed AI Agent Review
• Acceptance-Driven Verification