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.
8 years of coding experience
14 years of employment as a software developer
MSc Financial Economics, MSc Financial Economics at Erasmus University Rotterdam
Github Skills (72)
yahoo10
docker-compose10
estate10
least-squares10
mlp10
knn10
keras10
benchmark9
google-cloud9
regression9
sklearn9
random-forest9
incremental-learning9
yahoo-finance9
docker9
Programming languages (6)
Github contributions (5)
MBKraus/Python_Portfolio__VaR_Tool
Jan 2018 - Apr 2019
Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics and many other (ex-post) risk/return characteristics both on an individual stock and portfolio-basis, stand-alone and vs. a benchmark of choice (constructed with wxPython)
Contributions:39 commits, 2 PRs, 37 pushes in 1 year 2 months
widgetpythonstandriskcharacteristics
MBKraus/dockerized_data_science_playground
Sep 2019 - Mar 2022
Multi-docker container data science / engineering playground (w/ Kafka, Airflow, MLFlow, Tensorflow-Keras / SKLearn) for simulating a microservices-oriented architecture
Contributions:14 commits, 3 PRs, 15 pushes in 2 years 6 months
pythonzookeepersklearnkeras-tensorflowengineering
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.