Summary
Eduardo Bonet is a Staff Incubation Engineer specializing in MLOps at GitLab with 12 years of experience building developer-friendly tooling that brings data science workflows into GitOps. He led implementations like Jupyter Notebook diffs, an MLflow compatibility layer for zero‑setup experiment tracking, and work toward a model registry to make GitLab a product data scientists actually enjoy using. Based in Amsterdam, he blends control-and-automation engineering roots with practical software craftsmanship to bridge gaps between DevOps and MLOps. Eduardo frequently communicates his work through GitLab incubation docs and a public playlist of updates, signaling a focus on reproducibility, reviewability, and low-friction adoption. Colleagues rely on him to turn research-style workflows into auditable, production-ready features that scale across teams.
12 years of coding experience
Undergraduate Student, Control and Automation Engineering, 8.41, Undergraduate Student, Control and Automation Engineering, 8.41 at Universidade Federal de Santa Catarina
Exchange Student, Computer Science, 3.67, Exchange Student, Computer Science, 3.67 at Rose-Hulman Institute of Technology
Portuguese, English