Lead Link Machine Learning Excellence at Europace AG
Berlin, Germany
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Summary
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Senior
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Top School
Benjamin Genz is a cloud-focused engineering leader and former biochemist with 11 years of experience building data platforms, infrastructure-as-code, and machine learning practices from research labs to production. As Lead Link Machine Learning Excellence at Europace and an active contributor to the AWS CDK project, he blends hands-on cloud architecture (Serverless, CDK, DevOps) with data-science techniques applied to classical research domains like chemistry and biology. He runs freelance consultancy work and community-facing roles while steering internal cloud governance and platform engineering efforts. Based in Berlin, he pairs a PhD-level scientific background with pragmatic engineering—automating tedious workflows and shipping reliable, test-backed infrastructure. An avid skipper in his spare time, he brings both steady leadership and a tinkerer’s curiosity to complex technical problems.
11 years of coding experience
9 years of employment as a software developer
Dr. rer. nat Chemie Biokatalyse, Dr. rer. nat Chemie Biokatalyse at The Martin Luther University of Halle-Wittenberg
The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
Role in this project:
Cloud Engineer / Infrastructure Engineer
Contributions:6 reviews, 7 commits, 9 PRs in 1 year 8 months
Contributions summary:Benjamin contributed to the AWS CDK framework, primarily focusing on infrastructure-as-code aspects. Their work included implementing support for Lambda targets in ELBv2, adding an initial L2 construct for Redshift, and migrating unit tests for the AWS Glue module. They also addressed issues related to S3 bucket keys and inventory configurations, and made documentation and code fixes. These changes demonstrate a focus on building and maintaining cloud infrastructure through code.
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Benjamin Genz - Lead Link Machine Learning Excellence at Europace AG