Kevin Menden
Software And Machine Learning Engineer at Bosch
Tübingen, Baden-Württemberg, Germany
Summary
🤩
Rockstar🎓
Top SchoolKevin Menden is a software and machine learning engineer with a decade of experience applying ML and automation to bioinformatics and semiconductor failure analysis. He combines academic rigor from a PhD-level background in neural information processing with hands-on engineering at companies like Bosch and AIRAmed, shipping production-ready pipelines and ML-powered tools. An active open-source contributor to the nf-core ecosystem, he has improved core Nextflow DSL2 modules, tooling, and AWSBatch deployments for high-throughput sequencing pipelines. Kevin’s work spans backend development, DevOps, and reproducible bioinformatics—bridging containerization, workflow configuration, and testing to make complex analyses portable and reliable. Colleagues describe him as someone who turns integrative data-analysis research into scalable automation for real-world scientific and industrial problems.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Bioinformatics, Master of Science - MS, Bioinformatics at University of TübingenBachelor of Science - BS, Biochemistry, Bachelor of Science - BS, Biochemistry at Ulm UniversityÅbo AkademiComputer Science, Computer Science at Uppsala University
Swedish, English, German
Github Skills (17)
docker10
python10
groovy10
dsl10
dockers10
nextflow10
bioinformatics10
devops10
nf-core10
singularity9
testing9
conda9
staruml8
dstar8
fstar8
Programming languages (11)
Github contributions (5)
nf-core/tools
Nov 2020 - Jul 2021
Python package with helper tools for the nf-core community.
Role in this project:
Backend Developer
Backend DeveloperContributions:1 release, 250 reviews, 548 commits in 7 months
Contributions summary:Kevin primarily focused on improving the module's functionality within the nf-core/tools repository. The contributions involved switching the dependency from pyinquirer to questionary, updating the setup.py file, fixing typos, and correcting the tests. The changes indicate a focus on usability improvements, code maintenance, and ensuring the module's reliability through testing.
nf-corelinterpythonpipelinelinting
nf-core/scrnaseq
Apr 2021 - Jul 2021
Single-cell RNA-Seq pipeline for barcode-based protocols such as 10x, DropSeq or SmartSeq, offering a variety of aligners and empty-droplet detection
Role in this project:DevOps Engineer
DevOps EngineerContributions:4 reviews, 35 commits, 9 PRs in 3 months
Contributions summary:Kevin's commits primarily focus on setting up the AWSBatch configuration and ensuring correct parameter usage within the nf-core pipeline. They implemented checks for AWSBatch-specific parameters, such as `--awsqueue` and `--awsregion`, and enforced the use of S3 buckets for `outdir` and local tracedir. Additionally, the user made changes to the build system and workflows.
nf-core10xrnaseqpipelinegenomics-data
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.