Kenza Bazi-kabbaj is a web engineer and bioinformatician with 10 years of experience turning complex genomic and synthetic biology data into production-grade Python/Django applications. Trained with a master in bio-informatics in partnership with École Polytechnique, she has delivered validated and published results across human oncology, livestock health, and synthetic biology before shifting toward generative AI and web back ends. Comfortable bridging research and product, she combines rigorous QA and test automation experience (notably contributing to the widely used bioconda-recipes testing) with hands-on Django development. Based in Auvergne-Rhône-Alpes, she’s known for clarity, reliability and a pragmatic focus on user impact, often translating research-grade analyses into accessible, maintainable software.
10 years of coding experience
Développement back end (django), Développement back end (django) at OpenClassrooms
Master en bio-informatiques et biostatistiques, Bio-informatique, Master en bio-informatiques et biostatistiques, Bio-informatique at Université Paris Sud (Paris XI)
Contributions:2 reviews, 8 commits, 9 PRs in 8 months
Contributions summary:Kenza primarily contributes to testing and quality assurance within the bioconda-recipes repository. Their commits focus on creating and modifying test scripts, integrating testing frameworks like pytest, and adjusting test configurations. The user modifies existing tests and adds new testing procedures to ensure proper functionality of recipes, especially within the context of conda package management and bioinformatics tools.
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Contributions:5 PRs, 81 pushes, 14 branches in 1 year 2 months
placeconda-forgerecipescondapython
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Kenza Bazi-kabbaj - Ingénieure Développeuse Web at LIMAGRAIN