Bauke Brenninkmeijer is an AI Engineer with nine years of experience building production ML systems across finance and enterprise settings, currently making LLM agents observable at orq.ai. He has delivered end-to-end MLOps and data engineering solutions at ING and ABN AMRO—processing terabytes with Polars for real-time reliability forecasting, running fraud detection pipelines, and migrating legacy IaaS to modern PaaS architectures. Comfortable across deep learning, NLP, and BI, he has practical experience simplifying GenAI tooling (e.g., removing a vector DB to speed a Slackbot) and applying RAG for sustainability assessments. An organizer of the MLOps Community Amsterdam and a former startup CTO, he combines hands-on implementation fluency with product-minded thinking and a knack for optimizing systems for speed, cost and observability.
9 years of coding experience
9 years of employment as a software developer
VWO Nature & Science Nature & Technology with computing science, VWO Nature & Science Nature & Technology with computing science at Christelijk College Scharesvoorde
Master's degree Data Science, Master's degree Data Science at Radboud University
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