Moritz Meister is a Senior MLOps Engineer in Stockholm with nine years of experience building production ML infrastructure and data platforms. He led feature-store efforts at Hopsworks and is an active contributor to the logicalclocks/hopsworks project, adding training-dataset endpoints, SQL query support and feature-group validation to a widely used data-intensive AI platform. After a senior data-engineer role at Northvolt, he now applies that backend and data-engineering rigor to MLOps at Epidemic Sound, bridging APIs, feature stores and model deployment. His multidisciplinary academic path (BSc in Econometrics & Operations Research and multiple MScs including EIT Digital Data Science) gives him a strong grounding in both statistical thinking and scalable system design. Colleagues note he combines deep Java/MySQL backend skills with a persistent curiosity for analytics and practical feature engineering.
10 years of coding experience
8 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at Universidad Politécnica de Madrid
Bachelor of Science (BSc), Econometrics and Operations Research, GPA 8.24, Bachelor of Science (BSc), Econometrics and Operations Research, GPA 8.24 at Maastricht University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at EIT Digital Academy
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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