Gerben Oostra is a machine learning engineer and tech lead with 11+ years of experience bringing prescriptive ML models into production and scaling them via robust data engineering. He blends a strong software engineering foundation and a MSc in Algorithmic Systems with hands-on MLOps, causal inference, uplift modeling and large-scale pipeline design across AWS, Kafka, Flink and Docker. Gerben has driven technical roadmaps, coached teams, and co-created business strategy at an early-stage consultancy, pairing delivery with mentorship and business development. Notable for turning research-y techniques (bandits, causal methods) into deployable products, he prefers solving inefficiency through elegant algorithms and pragmatic engineering. Based in Haarlem, he continues to split his time between hands-on implementation and guiding others to productionize complex ML systems.
11 years of coding experience
19 years of employment as a software developer
BSc Computer Science, BSc Computer Science at University of Twente
MSc Computer Science - Algorithmic Systems (a.k.a. Applied computer science), MSc Computer Science - Algorithmic Systems (a.k.a. Applied computer science) at Utrecht University
Poetry plugin for mono repos to replace path dependencies with named dependencies
Contributions:27 PRs, 85 pushes, 22 branches in 10 months
monorepopoetry-pluginpoetry-python
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Gerben Oostra - Machine Learning Engineer at Dexter Energy