Matei Cernaianu

The client, a top-tier telecommunications company in Austria, was struggling to run manual complex transformation workflows, over a large number of customers and products. Dropped time spent running manual workflows up to 10X by designing a highly scalable BPM-powered component that enables parallel batch processing

The client, a global provider of financial services, was aiming to build a cloud-based Java application in order to centralize notifications across the platform. This requirement arose due to notification business logic being built in multiple components that made it hard to maintain and scale. Drastically reduced notification response time by 70% by introducing a centralized highly scalable notification component.

The client, one of the world's leading financial service providers, was struggling with an old web application, built using graphical programming, in order to run its lending banking processes. The app had a long response time and high maintenance costs. Drastically reduced response time by 60%, allowing them to run more processes and 2k+ active users simultaneously, by designing a scalable backend cloud-based application, using reactive programming to facilitate concurrency.

The client, a cloud-based B2B e-commerce network, was dealing with a slow data streaming ETL. Due to business expansion, the current product couldn’t keep up with the incoming data volume that had to be processed day by day, in near-real-time. Increased the application performance by 2X as a result of refactoring the entire solution, by migrating the complex analytics data that didn’t have to be near real-time to a new batch processing solution, and only keeping the operational data.