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ML SystemsMLOpsMonitoring5 months
Fraud Detection Pipeline + Monitoring
Real-time scoring with feature pipelines, monitoring, and controlled rollouts.
Challenge
High false positives, concept drift, and limited visibility into model decisions across channels.
Solution
Streaming feature generation, ensemble scoring with a rules layer, shadow and canary deployments, and alerting for drift and data quality.
Results
Production scoring service with streaming features
Operational monitoring for drift and data quality
Safe release strategy with rollback options
Tech Stack
PythonKafkaFlinkLightGBMFeastPrometheusGrafana
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