#MLOps#Data Engineering
Three years of running ML in production and the lesson that keeps repeating: the model is 10% of the work. The other 90% is data plumbing, and nobody puts that on the conference slide.
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Mei Tanaka
Data Platform Lead · Streaming & ML Infrastructure
Tokyo, Japan · she/her · 2nd
4.7K followers
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About
I keep data moving — streaming pipelines, feature stores, and the unglamorous plumbing that makes ML real in production.
Experience
💼
Lead the streaming and ML-infra group; Kafka, Flink, and a Kubeflow-based platform.
Education
🎓
University of Tokyo
M.Eng., Information Science
2012 – 2014
Skills
Apache Kafka· 77MLOps· 63Stream Processing· 55Python· 70
Learning credentials
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