Jakob is a software engineer at bakdata, working on highly scalable data platforms and data streaming applications. He has a strong background in Apache Kafka Streams and is particularly interested in integrating stream processing with modern AI components.
Previous speaking experience:

Current London 2025 - “Scaling Semantic Search: Apache Kafka Meets Vector Databases” https://current.confluent.io/post-conference-videos-2025/scaling-semantic-search-apache-kafka-meets-vector-databases-lnd25 
Qdrant Vector Space Day 2025 - “From Massive Text Streams to Searchable Knowledge with Apache Kafka and Qdrant” https://qdrant.tech/blog/vector-space-day-2025-recap/
Kafka Summit London 2024 - “Constructing Knowledge Graphs from Data Streams” https://www.confluent.io/events/kafka-summit-london-2024/constructing-knowledge-graphs-from-data-streams/
Berlin Apache Kafka Meetup 2022 by Confluent - “Scalable Machine Learning with Kafka Streams and KServe” https://www.meetup.com/de-DE/berlin-apache-kafka-meetup-by-confluent/events/286894239/