AI / ML
AI-Powered Fraud Detection System
Built a real-time fraud detection engine processing 2M+ transactions daily using ensemble ML models, reducing false positives by 65%.
The Challenge
The client's rule-based fraud system flagged far too many legitimate transactions, frustrating customers and burying the fraud team in manual reviews.
The Solution
We built an ensemble of gradient-boosted and neural network models trained on historical transaction patterns, deployed behind a low-latency streaming pipeline that scores transactions in under 100ms.
Results
-65%
False Positives
2M+
Daily Transactions Scored
<100ms
Scoring Latency
+38%
Fraud Caught
PythonTensorFlowKafkaAWS SageMakerGraphQL
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