Machiel Keizer-groeneveld is a pragmatic Machine Learning Engineer with 13 years of experience designing cloud-native, secure MLOps platforms that take models from experimentation to production. He blends deep hands-on skills in Databricks, MLflow, Azure AI Foundry, AWS Bedrock and serverless architectures with a strong product and delivery focus, repeatedly turning ML prototypes into measurable business impact. Machiel has led and scaled cross-functional teams, driven cultural shifts from maintenance to delivery, and re-architected high-traffic platforms like Zoover and Weeronline. Notable recent work includes building an agentic healthcare assistant on Azure and architecting flexible Databricks pipelines that enable algorithm swap-and-test workflows. He’s equally comfortable with low-level implementation (Python, CDK, BICEP) and high-level strategy, and quietly champions practical simplicity — preferring elegant, maintainable solutions to flashy complexity.
13 years of coding experience
22 years of employment as a software developer
Prince 2 foundation, Prince 2 foundation at NCOI Opleidingen
Certified Scrum master, Agile, Certified Scrum master, Agile at Scrum Alliance, Inc.
DBA MongoDB, DBA MongoDB at MongoDB University
Business & Architecture, Business & Architecture at Cibit
Tackling the challenges of Big Data, Tackling the challenges of Big Data at MIT School of Engineering
BSc, Computer Science, BSc, Computer Science at Hanze
Contributions:3 releases, 13 pushes, 1 branch in 2 years 5 months
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