Machiel Keizer-groeneveld

Machine Learning Engineer at HumanTotalCare

North Holland, Netherlands
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Summary

👤
Senior
🎓
Top School
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.
code13 years of coding experience
job22 years of employment as a software developer
bookPrince 2 foundation, Prince 2 foundation at NCOI Opleidingen
bookCertified Scrum master, Agile, Certified Scrum master, Agile at Scrum Alliance, Inc.
bookDBA MongoDB, DBA MongoDB at MongoDB University
bookBusiness & Architecture, Business & Architecture at Cibit
bookTackling the challenges of Big Data, Tackling the challenges of Big Data at MIT School of Engineering
bookBSc, Computer Science, BSc, Computer Science at Hanze
bookLeren Leiden, Leren Leiden at de Baak
languagesEnglish, Dutch
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Stackoverflow

Stats
602reputation
138kreached
4answers
3questions
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Github Skills (140)

python10
saml10
r10
sql10
spark10
java10
keycloak10
aws10
big-data9
connected-components9
apache-spark9
pyspark9
flask9
jdbc9
cloud-development-kit9

Programming languages (12)

PowerShellTypeScriptJavaRShellCCMakeScala

Github contributions (5)

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machielg/sparkle-hypothesis

Sep 2019 - Apr 2022

Contributions:4 releases, 11 commits, 2 PRs in 2 years 7 months
unit-testsscalaunitspark
machielg/sparkle-session

Nov 2019 - Apr 2022

Great new functions for pyspark dataframes
Contributions:3 releases, 13 pushes, 1 branch in 2 years 5 months
polarspythondataframesdata-framespark
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