Antoine Willerval
PHD Student at The QA Company
Saint-Étienne, Auvergne-Rhône-Alpes, France
Summary
👤
Senior🎓
Top SchoolAntoine Willerval is a PhD student and software engineer with nine years of experience combining research-driven machine learning and production Java backend development. Based in Saint-Étienne, he blends NLP-focused ML work with hands-on contributions to large open-source projects like Eclipse RDF4J, where he implemented Lucene-based search features, language/type filtering, and complex query support. His background includes machine learning engineering at TravelAssist.io and Java development roles that bridge academic rigor with practical system design. Comfortable across full-stack and data-intensive pipelines, he gravitates toward solutions that compress intelligence into elegant models and efficient search/indexing architectures. Known for tackling integration challenges—such as indexing parameterization and multi-backend defaults—he brings a pragmatic, research-informed approach to building scalable, searchable data systems.
9 years of coding experience
1 year of employment as a software developer
Master's Degree, Computer Science / Machine learning, big data and full stack development, Master's Degree, Computer Science / Machine learning, big data and full stack development at Jean Monnet University Saint-EtienneBachelor's, Computer Science, Bachelor's, Computer Science at Jean Monnet University, Saint-Etienne
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (9)
lucene10
rdf10
javas10
sparql10
java10
linked-data9
junit8
jtest8
python6
Programming languages (9)
Github contributions (5)
eclipse-rdf4j/rdf4j
Mar 2022 - Sep 2022
Eclipse RDF4J: scalable RDF for Java
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 reviews, 7 commits, 8 PRs in 6 months
Contributions summary:Antoine primarily contributed to the implementation of Lucene-based search capabilities within the RDF4J project. Their work involved adding language and type filtering features, including the integration of specific type definitions and indexing parameters for improved search functionality. They also addressed rebase conflicts and introduced the ability to set and select specific Lucene index IDs. Furthermore, the user enhanced the codebase by adding complex query support, implementing default behaviours for Elasticsearch and Solr.
scalablerdf4jlinked-datatriplestoresparql
ate47/Xray
Aug 2018 - Dec 2022
An implementation of the Xray mod
Contributions:5 releases, 11 reviews, 141 commits in 4 years 4 months
minecraftfabricmixinsmodxray
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