AI engineer
Worked on a supervised machine learning project for electrical fault classification in power transformer systems. Involved in collecting, cleaning, and labeling three-phase electrical measurements (current and voltage signals) across six fault categories: Normal, LG, LL, LLG, LLL, and LLLG. Applied data augmentation (SMOTE) to handle class imbalance and ensure balanced label distribution. Subject matter: power station monitoring and predictive maintenance.