Mark Kuiack
Senior Machine Learning Engineer at Zalando
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolMark Kuiack is a Senior Machine Learning Engineer with a decade of experience building production-ready ML systems, currently focused on forecasting and scalable PyTorch solutions. He has driven impactful projects at Picnic and Nike—improving global delivery forecasts and retail planning—and built anti-fraud pipelines at Sygno that span Spark, Hadoop and Airflow. A PhD-trained astronomer, Mark brings research-grade data engineering and real-time signal processing expertise from his observatory work, including migrating large Python pipelines and mentoring GPU-accelerated neural-net models. Known for turning complex streaming data into automated, cost-saving ML products, he excels at enabling cross-functional teams to extract operational insights and ship robust, maintainable pipelines. Based in Berlin, he blends academic rigor with hands-on production experience and a track record of liberating analysts through automation.
10 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc) Astronomy and Astrophysics, Master of Science (M.Sc) Astronomy and Astrophysics at Leiden UniversityDoctor of Philosophy (Ph.D.) Astronomy and Astrophysics, Doctor of Philosophy (Ph.D.) Astronomy and Astrophysics at University of AmsterdamBachelor of Science (B.Sc.) Specialist in Physics and Astrophysics, Bachelor of Science (B.Sc.) Specialist in Physics and Astrophysics at University of Toronto
Github Skills (44)
temporal9
uncertainty9
trap8
pytorch-lightning8
prophet7
time-series-forecasting7
forecasting6
discovery6
gpu6
pipeline6
pmml6
machine-learning6
python6
pytorch6
pandas6
Programming languages (6)
Github contributions (5)
mkuiack/scratchpad
Jun 2018 - Jun 2021
Contributions:23 pushes in 3 years 1 month
mkuiack/tkp
Jan 2016 - Nov 2016
Contributions:2 PRs, 7 pushes, 1 branch in 10 months
pipelinediscoverysurveysastronomydiscovery-pipeline
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