Jeroen Van Hoof
MLOps Platform Engineer
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolJeroen Van Hoof is an MLOps platform engineer with 11 years of experience building production-ready data and analytics platforms, currently leading Rabobank’s batch and real-time model serving stack. He designs and operates end-to-end ML infrastructures—Databricks, Airflow, AzureML, MLflow, Kong and cache-backed feature stores—using GitOps to enforce config validation, secure deployments and safe rollouts. His background spans data engineering, DevOps and machine learning, having optimised algorithms for Databricks, re-engineered slow ETL pipelines into minute-scale jobs, and led Quantexa network analytics deployments. Based in Amsterdam and trained at Eindhoven University of Technology, he combines hands-on engineering with developer-friendly abstractions like declarative YAML for faster time-to-production. Less obvious: he routinely bridges product and infra by enabling non-infrastructure teams to self-serve robust model APIs while retaining observability and ITSM controls.
11 years of coding experience
4 years of employment as a software developer
Master’s Degree Computer Science and Engineering, Master’s Degree Computer Science and Engineering at Eindhoven University of TechnologyHigh School Science & Technology and Health & Nature, High School Science & Technology and Health & Nature at Willibrord Gymnasium
English, Dutch
Github Skills (71)
voronoi10
python10
random-forest10
emmet10
r10
polygon10
gradient-boosting10
lightgbm10
algorithm10
kaggle10
classification10
benchmarking10
openml10
aiml10
decision-tree10
Programming languages (9)
Github contributions (5)
Yatoom/emmet-atom-simplified
May 2015 - Apr 2018
Emmet support for Atom
Contributions:29 commits, 3 PRs, 32 pushes in 2 years 11 months
emmetatom
Yatoom/arbok
May 2018 - Aug 2018
Contributions:46 commits, 33 pushes, 1 branch in 2 months
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