Sören Brunk

Software Engineer at commercetools

Karlsruhe, Baden-Württemberg, Germany
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Summary

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Rockstar
Sören Brunk is a software engineer based in Karlsruhe with 12 years of experience building robust back-end systems and machine learning tooling. He has trained small language models since 2021 and works at the intersection of software engineering and ML, currently contributing at commercetools. An active open-source contributor, Sören has added Scala bindings and image-processing features to TensorFlow Scala, enhanced the Almond Jupyter kernel with rich image support, and helped bring Scala.js compatibility and resilient client tests to Tapir. He combines low-level engineering (image codecs, tensor shape consistency, feed-map bug fixes) with full-stack deliverables like Dockerized builds and cross-platform testing, demonstrating a pragmatic focus on interoperability and reproducibility.
code12 years of coding experience
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Stackoverflow

Stats
121reputation
7kreached
2answers
3questions
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Github Skills (30)

apidoc10
jupyter10
image-processing10
testing10
machine-learning10
sbt10
scala10
deep-learning10
api10
tensorflow10
scalajs10
html10
dockers9
docker9
functional-programming-language8

Programming languages (18)

JavaC++RustMojoScalaGoRAMLMustache

Github contributions (5)

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almond-sh/almond

Oct 2018 - Apr 2020

A Scala kernel for Jupyter
Role in this project:
userFull-stack Developer
Contributions:1 release, 1 review, 30 commits in 1 year 5 months
Contributions summary:Sören primarily focused on enhancing the Almond Jupyter kernel's capabilities, adding features for displaying images from files, URLs, and RenderedImages. They integrated support for various image formats (JPG, PNG, GIF, SVG) and built-in image display using HTML, along with refactoring and adding comm-based enhancements. Furthermore, they worked on the Docker setup for building and publishing the kernel, including support for multiple Scala versions and snapshot builds.
kerneljupyter-notebookspark-sqlspark-mlspark
eaplatanios/tensorflow_scala

Jun 2017 - Nov 2018

TensorFlow API for the Scala Programming Language
Role in this project:
userML Engineer
Contributions:14 commits, 15 PRs, 49 comments in 1 year 5 months
Contributions summary:Sören primarily contributed to the TensorFlow Scala API, implementing features related to tensor summarization, JPEG image decoding/encoding, and image resizing operations. They addressed bugs in feed map conversions and improved consistency with upstream TensorFlow regarding scalar shape representations. Furthermore, the user integrated a loader for object detection models and improved example code paths.
apideep-learningscala-programming-languagemachine-learningscala
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Sören Brunk - Software Engineer at commercetools