Moritz Meister is a Resident Solutions Architect with a decade of experience building production-grade ML platforms and data-intensive systems, currently based in Stockholm. He has moved teams from hands-on MLOps at Epidemic Sound and Northvolt—where he cut model deployment cycles from months to weeks—to leading feature store strategy and backend engineering at Hopsworks. His work spans Spark, Kafka, Databricks, online feature stores and model serving, and he’s contributed backend features to the well-known Hopsworks open-source platform including training dataset endpoints and SQL-backed feature group support. A mentor and on-call practitioner, he combines product-facing presales and PoC delivery with deep implementation experience in APIs, streaming, and observability. His academic background in data science and econometrics underpins a pragmatic focus on reproducible ML and deployable analytics rather than pure research.
10 years of coding experience
9 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at Universidad Politécnica de Madrid
Master of Science - MS Data Science, Master of Science - MS Data Science at EIT Digital Academy
Bachelor of Science (BSc) Econometrics and Operations Research, Bachelor of Science (BSc) Econometrics and Operations Research at Maastricht University
Master of Science Computer Science and Engineering, Master of Science Computer Science and Engineering at Politecnico di Milano
Exchange semester, Exchange semester at Monash University
Hopsworks - Data-Intensive AI platform with a Feature Store
Role in this project:
Back-end Developer
Contributions:60 reviews, 85 commits, 140 PRs in 3 years 4 months
Contributions summary:Moritz primarily worked on back-end development tasks, focusing on the implementation of new features and enhancements related to training datasets and feature groups within the Hopsworks platform. Their contributions included adding endpoints for creating training datasets, incorporating SQL query support, and integrating statistical configurations for feature groups. The user's work also involved modifying existing data models and APIs to support features such as primary keys, and online features, and incorporating validation for various data types.
Contributions:96 pushes, 24 branches in 2 years 1 month
utility-libraryhopsworks
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