Youri Bontekoe is a Machine Learning Engineer with 12 years of software experience, currently building AI solutions at Team Rockstars IT after pioneering GenAI systems at Erasmus MC. He built production-grade medical AI—combining self-hosted ASR with Azure LLMs—to automate clinician reporting at scale while cutting ASR costs by 70x and instituting rigorous hallucination detection and evaluation pipelines. Equally comfortable in back-end and full-stack roles, he contributes to notable open-source bioinformatics projects (Galaxy, vg) improving RNA visualization, data tooling and genome graph stability. His background in creative early projects and formal training in software engineering drives a practical, product-minded approach to ML, from data lakes and MLOps to retrieval-augmented generation for patient dossiers. Based in Dordrecht, Netherlands, he pairs hands-on engineering with a knack for making complex, high-stakes systems auditable and clinically reliable.
12 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Avans University of Applied Sciences
Tool Shed repositories maintained by the Intergalactic Utilities Commission
Role in this project:
Backend Developer
Contributions:271 commits, 107 PRs, 75 pushes in 2 years 10 months
Contributions summary:Youri primarily focused on improving the DEXSeq tool within the repository. Their contributions involved modifying the R script to optimize data handling and output, including changes to column indexing for join operations. They also added and updated documentation for the RNA-STAR and featureCounts tools, with particular attention to memory requirements. Further, they attempted to resolve conflicts within the `extract_genomic_dna` utility script.
Contributions:8 commits, 8 PRs, 11 comments in 5 years 1 month
Contributions summary:Youri primarily focused on improving the codebase's stability and functionality. They addressed a hanging behavior in the `vg construct` tool, likely resolving a critical bug. Furthermore, they made several changes to the `src/utility.hpp` and `src/caller.cpp` files, adding missing includes and refactoring code, indicating an effort to improve the project's maintainability, compatibility, and efficiency. They were involved in changes to the source of the project and fixed an issue in the build pipeline.
genomegenome-graphdnagenomicsbioinformatics
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