Project overview
Designing a platform to integrate AI and ML algorithms in a highly flexible and configurable manner, so that platform operators are able to incorporate the provided models into pipelines through configuration instead of custom coding. The introduced configuration included defining input and output data models, specifying communication channels for data transfer, enabling feature store management and retrieval, and applying data transformation logic before feeding the data into the model. Additionally, the platform supported the parsing of BIK (Credit Bureau Info – a data source containing information provided by banks, state banks and leasing companies in Poland), during the customer information preprocessing phase.
Client background
One of Poland's leading banks, our client provides services to individual and business customers and combines traditional banking principles with innovative solutions.
Goals
Managing high processing volumes each second, ensuring batch latency is under 5 seconds, and implementing complex transformation logic – while accelerating the introduction of innovations and guaranteeing 24/7 availability.
