Etienne Dilocker
Co-Founder & CTO at Weaviate
Mannheim, Baden-Württemberg, Germany
Summary
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RockstarEtienne Dilocker is a Co-Founder and CTO with nine years of professional experience building high-performance, cloud-native systems and databases from Mannheim, Germany. He leads Weaviate’s technical vision while running his own software engineering consultancy, applying an SRE mindset to ensure systems are observable, reliable, and scalable. A hands-on Go specialist, he focuses on database development and performance programming and has contributed backend integrations to notable open-source benchmark work for approximate nearest neighbor libraries. His freelance background across startups, SMEs, and enterprises gives him broad full‑stack fluency and a pragmatic, delivery-first approach to shipping production-ready software. Colleagues rely on him to tune system performance (e.g., ef_construction and library configuration) as much as to architect resilient cloud-native platforms.
9 years of coding experience
12 years of employment as a software developer
Stackoverflow
346reputation
22kreached
9answers
0questions
Github Skills (12)
weaviate10
benchmarking10
benchmark10
python10
kubernetes-helm6
vector6
kubernetes6
docker6
google-cloud-platform6
knn6
classification6
dockers3
Programming languages (16)
Github contributions (5)
erikbern/ann-benchmarks
Apr 2021 - Apr 2023
Benchmarks of approximate nearest neighbor libraries in Python
Role in this project:
Backend Developer
Backend DeveloperContributions:1 comment in 2 years
Contributions summary:Etienne primarily worked on the `ann-benchmarks` project, specifically focusing on the integration of the Weaviate approximate nearest neighbor library. Their contributions involved adjusting Weaviate's settings, fixing syntax errors, and updating the library's version. They also made modifications to the `ef_construction` parameter, indicating an understanding of the library's performance tuning options.
pythonnearest-neighbornearestdockerbenchmark
weaviate/weaviate
Sep 2018 - Jan 2023
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Contributions:152 releases, 432 reviews, 3200 commits in 4 years 4 months
approximate-nearest-neighbor-searchsemantic-search-enginehnswfaultsimilarity-search
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