Summary
Christoph Boden is a Principal Data Engineer and leader of the Data Science & Engineering Community of Practice at Mercedes‑Benz.io with nine years of industry experience and a PhD from TU Berlin on benchmarking distributed data processing systems for scalable machine learning workloads. He blends deep academic expertise in Apache Spark and Flink performance with hands‑on platform leadership, having progressed from machine learning specialist to tech lead and now principal engineer roles. Christoph reviews ML open‑source work for JMLR and contributes to academic and industry conference program committees, bringing a research‑grade rigor to production analytics. Based in Berlin, he pairs Industrial Engineering training from TU Dresden and UC Berkeley with practical consulting experience at DFKI, making him adept at translating complex distributed systems research into operational data platforms. An understated strength is his focus on benchmarking as a tool to drive engineering decisions, not just measurements, ensuring scalable ML systems meet real business SLAs.
9 years of coding experience
15 years of employment as a software developer
Industrial Engineering Computer Science, Industrial Engineering Computer Science at University of California, Berkeley
Industrial Engineering, Industrial Engineering at Technische Universität Dresden
Dr.-Ing. Computer Science, Dr.-Ing. Computer Science at Technische Universität Berlin
English, German, French, Spanish