Jerven Bolleman
Principal Software Engineer at Swis
Geneva, Geneva, Switzerland
Summary
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Rockstar🎓
Top SchoolJerven Bolleman is a Principal Software Engineer based in Geneva with 14 years of experience modernizing and stabilizing large, production-critical codebases. He specializes in bringing undocumented systems into deployable, automated workflows—ensuring high availability and introducing CI/CD across complex stacks. At the Swiss Institute of Bioinformatics he helped keep UniProt serving nearly a million monthly users with 99.9%+ uptime and built distributed key-value stores spanning geo-distributed data centers. An active open-source contributor, he has improved SPARQL engines and RDF tooling (rdflib, RDF4J) and added semantic-web output to genome graph tools, demonstrating deep expertise in RDF and data interoperability. He balances backend engineering, performance-driven refactoring, and rigorous test automation, often surfacing subtle data-model and query optimizations that reduce runtime and improve correctness.
14 years of coding experience
13 years of employment as a software developer
EcolintBASc in Bioinformatics, Bioinformatics, BASc in Bioinformatics, Bioinformatics at HanzeOslo International School
English, Dutch, French
Stackoverflow
582reputation
87kreached
19answers
1question
Github Skills (37)
parserator10
bitmap10
parser10
biom10
python10
python-turtle10
rdflib10
testing10
graph10
query-optimization10
roarr10
bitset10
linked-data10
java10
javas10
Programming languages (19)
Github contributions (5)
eclipse-rdf4j/rdf4j
Dec 2018 - Jan 2023
Eclipse RDF4J: scalable RDF for Java
Role in this project:
Back-end Developer
Back-end DeveloperContributions:82 reviews, 215 commits, 98 PRs in 4 years 1 month
Contributions summary:Jerven focused on optimizing SPARQL query processing within the RDF4J framework. Their contributions involved refactoring REGEX calls to leverage more efficient string functions. Furthermore, the user enhanced the system by enabling the replacement of REGEX calls with other string functions, ultimately improving performance. They also made adjustments to support the substring function to align with XPath examples and refined the codebase by introducing a writer method to optimize encoding of strings.
scalablerdf4jlinked-datatriplestoresparql
vgteam/vg
Sep 2015 - Dec 2019
tools for working with genome variation graphs
Role in this project:Back-end Developer
Back-end DeveloperContributions:78 commits, 34 PRs, 8 pushes in 4 years 3 months
Contributions summary:Jerven's contributions center on implementing RDF (Resource Description Framework) output capabilities for the vg tool, specifically focusing on the creation of RDF/turtle format. This includes writing turtle files, and adapting existing code to incorporate RDF-related predicates and base URIs. The user worked on the conversion of graph data into RDF triples, which allows the representation of graph data in semantic web formats. This effort demonstrates a focus on enhancing the tools' ability to interface with semantic web technologies.
genomegenome-graphdnagenomicsbioinformatics
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