Aubry Mathieu
Summary
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SeniorMathieu Aubry is a DevOps engineer specialized in application performance monitoring and observability, currently working with Dynatrace at BNP Paribas. With 11 years of experience across data science, full‑stack development and systems engineering, he blends hands‑on monitoring expertise with a strong background in ML-driven resource prediction from his time at CEA. He has built end-to-end solutions—from MongoDB-backed chatbots and NLP modules to Python pipelines that processed 15 GB of unstructured supercomputer logs for feature engineering and modeling. Trained at Université Paris‑Saclay and through a POEI DevOps program, he combines formal systems knowledge with practical operational skills. Notably, he moves comfortably between building predictive models and deploying observability tooling, making him effective at both optimizing compute usage and ensuring production performance. Based in Greater Paris, he brings a pragmatic, data-informed approach to improving reliability and efficiency in large enterprise environments.
12 years of coding experience
Github Skills (2)
cad8
3d8
Programming languages (1)
Github contributions (5)
mathieuaubry/paintingTo3D
Sep 2014 - Oct 2014
Contributions:70 commits in 1 month
mathieuaubry/seeing3Dchairs
Aug 2014 - Sep 2019
Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset of CAD models
Contributions:21 commits, 1 PR, 1 push in 5 years 2 months
3dcad
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