Mike Kraus
Engineering Manager Machine Learning Platform Team
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolMike Kraus is an Engineering Manager leading the Machine Learning Platform team at Mollie, bringing eight years of experience at the intersection of ML, engineering, and platform infrastructure. He progressed from hands-on ML engineering roles to leadership within Mollie, building production-grade models and robust platform architectures that support digital marketing, revenue forecasting, and computer vision use cases. His background blends rigorous MSc-level financial economics with applied data science across industries—payments, retail, transportation, and aviation—where his models have driven measurable cost savings and ranking success in competitions like iWildCam. Known for improving model robustness and operationalizing Bayesian and optimization-based solutions, he combines product-minded engineering with an economist’s attention to measurable impact. Based in Amsterdam, he’s adept at translating complex ML research into reliable, scalable systems used in production.
9 years of coding experience
14 years of employment as a software developer
MSc Financial Economics, MSc Financial Economics at Erasmus University Rotterdam
Github Skills (64)
stock10
benchmark10
python10
incremental-learning10
yahoo-finance10
docker-compose10
mlp10
kafka-python10
ensemble-learning10
keras10
heatmap10
wxpython10
risk-management10
lasso-regression10
knn10
Programming languages (6)
Github contributions (5)
MBKraus/incremental_training
Nov 2019 - Mar 2022
Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
Contributions:36 commits, 5 PRs, 44 pushes in 2 years 4 months
airflowkafkamlflowmlmodeldata-science
MBKraus/Predicting_real_estate_prices_using_scikit-learn
Jan 2018 - Apr 2019
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Contributions:28 commits, 26 pushes, 1 branch in 1 year 2 months
mlpneural-networkscikit-learnpredicting-housing-pricesreal-estate
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