The Question
ML Design
Real-time Fraud Detection System
Design a high-throughput, low-latency machine learning system to detect and prevent fraudulent transactions in real-time. The system must handle extreme class imbalance, evolving adversarial patterns, and delayed feedback from financial institutions while minimizing impact on legitimate user experience.
XGBoost/LightGBM
GNN
Isolation Forest
LSTM
Flink
February 20, 2026