Gyula is a committer and PMC member for the Apache Flink project, currently working as a researcher at the Swedish Institute of Computer Science. His main expertise and interest is real-time distributed data processing frameworks, and their connections to other big data applications. He is a core architect of Apache Flink Streaming. His current work includes research and development on several aspects of stream processing, including fault-tolerance, efficient windowing computations and streaming machine learning.

Gyula has been a speaker at ApacheCon, Hadoop Summit and numerous Big Data related conferences and meetups recently on stream processing.