Leila W is a data-focused software engineer with 4 years of experience who transitioned from a biomedical sciences bachelor’s into a Master’s in Bioinformatics and Computational Biology, bringing a rare blend of life-sciences insight and pragmatic engineering. She has co-founded a startup, built an object-detection POC that was accepted into an accelerator, and contributes to robust back-end work in open-source projects like the Apache Drools rule engine. Known for bridging technical teams and executives, she excels at negotiating access to messy data and designing scrappy, production-ready solutions when textbook approaches fail. Leila mentors others in programming and data science, researches data-pipeline optimizations, and keeps one eye on a future return to the startup world as a co-founder.
4 years of coding experience
Master's in Bioinformatics and Computational Biology, Computational Biology, Master's in Bioinformatics and Computational Biology, Computational Biology at University of North Carolina at Chapel Hill
Bachelor's degree, Biomedical Sciences, General, Bachelor's degree, Biomedical Sciences, General at University of Central Florida
Drools is a rule engine, DMN engine and complex event processing (CEP) engine for Java.
Role in this project:
Back-end Developer
Contributions:48 reviews, 5 commits, 52 PRs in 8 months
Contributions summary:Leila primarily contributed to refactoring and enhancing the Drools rule engine, focusing on core compiler components and reliability features. Their work involved modifying Java code within the `drools-compiler` module, including the `Processor` and `KnowledgeBuilderImpl` classes. They also introduced and improved various reliability tests, suggesting a focus on the robustness and stability of the Drools engine, as well as contributing to the `drools-reliability` project.
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