Karl Schriek
Founder at Snap CD
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolKarl Schriek is a founder and seasoned engineering leader with nine years of experience building AI-driven and cloud-native systems, most recently serving as CTO of Block Markets Africa before founding Snap CD. He blends deep actuarial and quantitative training with hands-on software engineering—skills honed through roles from actuarial positions at Gen Re and Allianz to Head of AI at Alexander Thamm and software engineering at Arrikto. Karl is comfortable at the intersection of data science, machine learning, and product delivery, leading teams that take models from research to production in regulated environments. Based in Munich, he brings a global perspective shaped by education in South Africa and enterprise experience across insurance and fintech. Colleagues know him for converting complex risk and biometric problems into pragmatic technical solutions and for balancing technical depth with founder-level product instincts.
9 years of coding experience
10 years of employment as a software developer
Postgraduate Diploma in Actuarial Science Actuarial Science, Postgraduate Diploma in Actuarial Science Actuarial Science at University of Cape TownBSc. Financial and Actuarial Mathematics Actuarial Science English Literature, BSc. Financial and Actuarial Mathematics Actuarial Science English Literature at University of Pretoria
Afrikaans, English, German, Dutch
Github Skills (200)
metadata10
cpp10
k8s10
jsonnet10
neural-network10
data-science10
secret-management10
dokku10
google-kubernetes-engine10
notebook10
python10
coredns10
terraform10
kustomize10
continuous-delivery10
Programming languages (20)
Github contributions (5)
at-gmbh/swiss-army-kube
Feb 2021 - Mar 2021
This repository provides the minimal set of resources, which may be required for starting comfortably developing the process of new IaC project
Contributions:14 PRs, 170 pushes, 12 branches in 1 month
developingdevopsinfrastructure-as-codeawsterraform
mercury-ml-team/mercury-ml
Jan 2019 - Jul 2019
Mercury-ML is an open source Machine Learning workflow management library. Its core contributors are employees of Alexander Thamm GmbH
Contributions:52 commits, 4 PRs, 30 pushes in 5 months
watsonpythondata-sciencemachine-learning-workflowmercury
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.