Machiel Keizer-groeneveld
Machine Learning Engineer at Royal Schiphol Group
North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolMachiel 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, Passed, Prince 2 foundation, Passed at NCOI OpleidingenCertified Scrum master, Agile, Passed, Certified Scrum master, Agile, Passed at Scrum Alliance, Inc.DBA MongoDB, Passed, DBA MongoDB, Passed at MongoDB UniversityTackling the challenges of Big Data, Passed, Tackling the challenges of Big Data, Passed at MIT School of EngineeringBSc, Computer Science, BSc, Computer Science at Hanze UniversityBusiness & Architecture, Business & Architecture at cibit academyLeren Leiden, Passed, Leren Leiden, Passed at de Baak
English, Dutch
Stackoverflow
602reputation
138kreached
4answers
3questions
Github Skills (200)
python10
identity10
saml10
authentication10
security10
r10
scale10
connected-components10
sql10
spark10
openid-connect10
cloud-infrastructure10
java10
scala10
authorization10
Programming languages (12)
Github contributions (5)
machielg/sparkle-hypothesis
Sep 2019 - Apr 2022
Contributions:4 releases, 11 commits, 2 PRs in 2 years 7 months
unit-testsscalaunitspark
machielg/sparkle-test
Oct 2018 - Apr 2022
Contributions:6 releases, 9 pushes, 1 branch in 3 years 6 months
casespythontest-dataunittestingtesting
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