AI / ML

Data capture & ML consulting services to map out the way to a custom

Designed a real-time fraud detection system handling 10,000+ transactions per minute with 99.2% accuracy and <0.1% false positives using gradient boosting and deep learning models. Implemented behavioral feature engineering, real-time inference with Apache Kafka, and deployed an MLOps pipeline with automated retraining, A/B testing, and performance monitoring.