Benedikt Linse is a Staff Solutions Architect based in Munich with 13 years of experience designing and delivering large-scale real-time streaming platforms, primarily around Apache Kafka and the Confluent Platform. He blends deep academic rigor—a Ph.D. in Computer Science—with hands-on architecture and implementation work across industries, from automotive logistics at MAN RIO to cloud-native and event-driven systems at Confluent and Dell EMC. Known for leading cross-functional teams, he runs architecture, migration, security and HA workshops, develops PoCs, and authors technical best practices while presenting at international conferences. His background spans data integration, scalable ETL, streaming analytics, and recommender systems, reflecting a strong foundation in both distributed systems and data science. He’s actively interested in neural networks, vector databases, and AI agents, signaling a pivot toward applied AI on top of real-time infrastructure. An uncommon strength is his combination of formal research on semantic data integration and years of production-grade platform engineering, enabling pragmatic yet principled solutions.
13 years of coding experience
13 years of employment as a software developer
Ludwig Maximilian University of Munich
Physics, Physics at University of Kaiserslautern
Diploma, Computer Science Major, Micro-Economics minor, 1.0, Diploma, Computer Science Major, Micro-Economics minor, 1.0 at Ludwig-Maximilians-Universität München
Erasmus Student, Computer Science, Erasmus Student, Computer Science at Università di Pisa
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