Lize Raes
Developer Advocate Java And AI
Basel, Basel-City, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolLize Raes is a Developer Advocate specializing in Java and AI, currently shaping developer experiences at Oracle and serving as a core collaborator and public face of the LangChain4j framework. With a background in electronics and bioinformatics, she brings 6+ years of hands-on engineering experience and 8+ years in the life sciences domain to bridge regulated research environments and cutting-edge AI tooling. She’s known for delivering acclaimed keynotes at major conferences and for translating community feedback into product roadmaps, documentation, and coding labs that accelerate adoption. Her contributions toLangChain4j—improving test coverage and parsing robustness—underscore a practical commitment to quality in production-grade Java AI libraries. Previously she led multidisciplinary teams optimizing drug development workflows and advised national crisis response with predictive modeling during COVID-19, demonstrating rare experience at the intersection of policy, teams, and technical delivery. Fluent in four languages, she blends empathic leadership with a coder’s drive to solve societal problems.
6 years of coding experience
8 years of employment as a software developer
Master of Science, Electrical, Electronics and Communications Engineering, Magna cum Laude, Master of Science, Electrical, Electronics and Communications Engineering, Magna cum Laude at Ghent University
Github Skills (6)
javas10
junit10
langchain10
java10
test-automation10
testing10
Programming languages (2)
Github contributions (5)
langchain4j/langchain4j
Jul 2023 - Mar 2025
Java version of LangChain
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:18 reviews, 22 PRs, 17 pushes in 1 year 8 months
Contributions summary:Lize primarily focused on improving the quality and reliability of the LangChain4j Java library through comprehensive testing. They added new test cases for the paragraph splitter functionality, covering various line ending scenarios. Furthermore, the user updated existing tests and corrected issues in the code related to parsing JSON structures in the service output parser. This work demonstrates a strong commitment to ensuring the library's robustness.
anthropicchatgptchromaembeddingsgemini
LizeRaes/ai-drug-discovery
Sep 2024 - Mar 2025
Contributions:11 reviews, 13 PRs, 49 pushes in 5 months
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