An Apache Flink and Kotlin streaming architecture where online machine learning detects concept drift from machinery wear, controlled by a shadow mode router.

Apache Flink, Kafka and Valkey turn a contextual bandit recommender into an event driven service with stateful training and low latency inference.

A Python prototype of a contextual multi-armed bandit recommender that simulates user behaviour and validates the algorithm against cold-start users.