Pierre Le Jeune

Research Scientist

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Summary

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Rockstar
Pierre Le Jeune is a research scientist with nine years of experience specializing in machine learning research and tooling, currently contributing at GiskardAI. He blends rigorous research acumen with practical ML engineering to help bridge model evaluation and deployment gaps. Based in France, he brings a European perspective to building reliable, testable AI systems and emphasizes reproducibility in ML workflows. While primarily research-focused, his GitHub presence signals ongoing hands-on experimentation and open collaboration in AI tooling. Colleagues describe him as methodical and curious, often uncovering subtle failure modes that improve model robustness.
code9 years of coding experience
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Github Skills (22)

artificial-intelligence10
continuous-integration10
testing10
quality-assurance10
machine-learning10
reinforcement-learning10
cicd10
llm10
mlops10
llmops10
ai10
ai-security10
evaluation-framework10
fusion8
arxiv7

Programming languages (2)

JavaPython

Github contributions (5)

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pierlj/ken-burns-effect

Jun 2020 - Jul 2021

Contributions:15 commits, 25 pushes, 1 branch in 1 year 1 month
pierlj/aaf_framework

Nov 2021 - Apr 2022

Alignment Attention Fusion framework for Few-Shot Object Detection
Contributions:45 commits, 2 PRs, 19 pushes in 5 months
pytorchdeep-learningcomputer-visionobject-detectionalignment
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Pierre Le Jeune - Research Scientist