Designed and trained an anomaly detection model using TensorFlow and autoencoders to flag suspicious transactions.

Reduced fraud detection latency by 50% by optimizing feature pipelines and deploying models on AWS Lambda.

Conducted A/B testing on fraud detection thresholds, achieving a 15% improvement in detection rates.