Designed and deployed a production-style, containerized backend system that performs real-time anomaly detection on system logs using a Spring Boot microservice integrated with an ML inference service.
python docker machine-learning spring-boot maven docker-compose scikit-learn postman spring-web restful-api spring-jpa anomaly-detection unsupervised-machine-learning isolation-forest mongodb-atlas fastapi java-21 systemlogs
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Updated
Jan 11, 2026 - Java