Human-in-the-Loop Data Labeling & Model Evaluation Lead, PayGuard AI
As Founder & Lead Engineer at PayGuard AI, I designed and implemented ML-powered fraud detection workflows with Human-in-the-Loop review for compliance and risk monitoring. I developed systems enabling manual and AI-assisted review of transactional data to identify fraudulent patterns and enable continuous retraining of deployed models. These workflows incorporated auto-retraining, 12-feature extraction and collaborative input to improve model accuracy and reduce manual review time. • Architected end-to-end AI-augmented labeling workflows for financial transaction data • Integrated periodic Human-in-the-Loop validation for ongoing model improvement • Built rule suggestion mechanisms utilizing review pattern analysis • Leveraged ML.NET in internal/proprietary platforms for SaaS compliance tools