Sarah Diot-girard
Machine Learning Engineer at Owkin
Poitiers, Nouvelle-Aquitaine, France
Summary
🤩
Rockstar🎓
Top SchoolSarah Diot-girard is a Machine Learning Engineer with 8 years of experience building production-ready ML systems and MLOps practices across healthcare, HR, finance, and automotive domains. She has led teams and end-to-end credit modelling at Hokodo, operationalizing dozens of models with reproducible pipelines, model monitoring, and strong explainability constraints. At PeopleDoc she established the company’s ML capability, shipping document classification pipelines, a prediction API and an open-source MLV-tools toolkit to improve pipeline versioning and reproducibility. Comfortable balancing research-grade techniques (from her robotics and bioinformatics background) with pragmatic software engineering, she champions CI, testing, architecture patterns and SOLID principles to reduce time-to-production. Based in Poitiers, France, she combines hands-on engineering, technical leadership and a track record of mentoring and refactoring legacy systems while delivering measurable business value.
8 years of coding experience
11 years of employment as a software developer
Engineering degree, Mécatronique, Engineering degree, Mécatronique at Ecole nationale supérieure de Techniques avancéesMaster of Science (M.Sc.), Robotics, Cognition, Intelligence, Passed with merit, Master of Science (M.Sc.), Robotics, Cognition, Intelligence, Passed with merit at Technische Universität München
French, English, German, Russian
Github Skills (88)
python10
deep-learning10
gpu10
scikit10
dataframes10
pandas10
statistics10
computer-vision10
data-science10
data-analysis10
machine-learning10
manipulation10
scikit-learn10
data-structures10
frame10
Programming languages (10)
Github contributions (5)
SdgJlbl/sdgjlbl.github.io
Aug 2019 - Mar 2025
Personal website
Contributions:56 PRs, 65 pushes, 47 branches in 5 years 8 months
reactnextjs
peopledoc/mlvtools-tutorial
Aug 2018 - Apr 2020
Tutorial for a new versioning Machine Learning pipeline
Contributions:6 commits, 4 PRs, 18 pushes in 1 year 8 months
pipelinemachine-learning-pipelinemachine-learningmlopsversioning
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