Juri Wiens is an AI Research Engineer based in Cologne with 11 years of hands-on experience building production ML systems, recommender engines, and scalable web services. At REWE digital he moved from software and ML engineering into research-facing roles, developing session-based GPT-like recommenders, training German language models from scratch, and deploying real-time LSTM detectors for web robot detection. He combines strong Node.js and web technology expertise with practical MLOps, Kafka streaming, and API gateway experience, enabling research models to run reliably in production. Earlier roles span VoIP, Google Cloud integrations, and custom CRM and virtualization projects, reflecting a pragmatic full-stack background. Curious and self-driven, he continuously explores functional and reactive programming paradigms and often bridges cutting-edge research with concrete business impact.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Bonn-Rhein-Sieg University of Applied Sciences
Bachelor of Science (B.Sc.) Wirtschaftsinformatik, Bachelor of Science (B.Sc.) Wirtschaftsinformatik at FOM University of Applied Sciences for Economics and Management
High-level TypeScript Kafka consumer and producer based on node-rdkafka (WiP)
Contributions:5 releases, 62 commits, 1 PR in 4 months
kafka-consumerwiphigh-levelproducernodejs
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