Real-Time Email Spam Detection System

Design a high-scale, real-time spam detection system for a global email provider. The system must process over 100,000 emails per second with a P99 latency under 50ms. Focus on a multi-stage architecture that balances heavy text-based deep learning with lightweight metadata-based filtering. Detail how you would handle adversarial attacks (e.g., character obfuscation), the cold-start problem for new senders, and the infrastructure required for high-precision model calibration and daily retraining. Address the critical trade-off between false positives and false negatives in a production environment.

LightGBMDistilBERTKafkaFlinkSparkRedisONNXBigQuery

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Large-Scale Adversarial Spam Detection System

Design a high-throughput spam detection system capable of processing billions of messages daily. The system must maintain a P99 latency under 50ms while balancing extreme class imbalance and adapting to rapidly evolving adversarial attacks. Focus on the end-to-end architecture from real-time feature engineering (sender reputation, content signals) to model training/serving, and explain how you would handle delayed labels from user feedback and ensure the system minimizes false positives for high-priority legitimate communication.

LightGBMKafkaFlinkSparkRedisFeastPrometheusXGBoost

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Real-Time Email Spam Detection System

LightGBMDistilBERTKafkaFlinkSparkRedisONNXBigQuery

Read

Large-Scale Adversarial Spam Detection System

LightGBMKafkaFlinkSparkRedisFeastPrometheusXGBoost

Read