Benedikt Koller
Head Of Engineering at DeepL
Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolBenedikt Koller is a seasoned engineering leader and former CTO with 11+ years of experience building platform and data products at scale, currently Head of Engineering at DeepL. He excels at turning monoliths into microservices, designing low-latency data meshes with Kafka and Protobuf, and founding ZenML to bridge ML and Ops—contributing hands-on to its core pipeline tooling. Known as an "ops guy" who obsessively measures outcomes, he has led platform tribes, hired and interviewed at scale, and redesigned hiring and engineering processes across organizations. His background spans B2C, deep tech and B2B SaaS, with applied experience migrating datacenters to AWS/Azure and running multi-region cloud infrastructures. Pragmatic and metrics-driven, he pairs entrepreneurial instincts with deep operational craftsmanship to deliver reliable, observable systems.
11 years of coding experience
13 years of employment as a software developer
Abschluss, Fachinformatiker Systemintegration (IHK), Abschluss, Fachinformatiker Systemintegration (IHK) at Städt. Berufsschule für kaufmännische Industrie- und Informatikberufe München
English
Github Skills (8)
machine-learning10
workflow-engine10
mlops10
tensorflow10
python10
pipeline10
testing9
pytorch9
Programming languages (7)
Github contributions (5)
zenml-io/zenml
Nov 2020 - Feb 2021
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
Role in this project:
ML Engineer
ML EngineerContributions:3 reviews, 87 commits, 7 PRs in 2 months
Contributions summary:Benedikt contributed to the ZenML project by implementing and integrating machine learning components. Their work included defining a new step for smoke testing, which likely validates the core functionality of the pipelines. Additionally, the user modified the versioning and base trainer steps to ensure proper functionality and integration. These changes demonstrate an understanding of the project's ML workflow and its different stages, as well as the ability to integrate them.
devops-toolspythonproduction-readytensorflowproduction
benkoller/traceroute
Sep 2017 - Jan 2021
Contributions:5 pushes, 1 branch in 3 years 4 months
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