Louis Outin

Senior Machine Learning Engineer at Abwab.ai

Lisbon, Portugal
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Summary

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Senior
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Top School
Louis Outin is a Senior Machine Learning Engineer with nine years of experience building production ML systems across finance, energy, and risk analysis, now based in Lisbon. He has delivered solutions from BERT-based bank statement enrichment and search at Ntropy to unsupervised multivariate time-series anomaly detection for wind turbines, and recently architected distributed multi-agent microservices for deep risk analysis. Comfortable across the Hugging Face ecosystem, PyTorch, and modern data tooling like Polars, he blends research-grade modeling with pragmatic backend engineering and payment-system experience. Currently driving ML initiatives at Abwab.ai after a stint at PwC, he has a strong academic foundation in optimization and AI from French and European universities. Known for translating complex probabilistic models into observable production pipelines (Grafana, microservices), he favors solutions that balance interpretability and scale. Fluent across ML research and systems engineering, he brings a practical, cross-domain perspective that speeds model adoption in real-world products.
code9 years of coding experience
job7 years of employment as a software developer
bookMaster's degree Optimisation and Machine Learning, Master's degree Optimisation and Machine Learning at Université de Caen Normandie
bookUniversity of Seville
bookErasmus master one semester Artificial Intelligence, Erasmus master one semester Artificial Intelligence at Charles University
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Github Skills (109)

alpaca10
torchserve9
yolov59
ai9
object-detection9
deep-learning9
pytorch9
llm9
large-language-models9
artificial-intelligence9
tensorboard9
sdk8
llm-inference8
onnx8
python8

Programming languages (5)

RustJavaScriptSvelteJupyter NotebookPython

Github contributions (5)

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louisoutin/yolov5_torchserve

Dec 2020 - Jan 2021

Torchserve server using a YoloV5 model running on docker with GPU and static batch inference to perform production ready and real time inference.
Contributions:11 commits, 1 PR, 14 pushes in 1 month
batch-inferencedeep-learningdockerobject-detectionpytorch
Contributions:32 commits, 23 pushes, 1 branch in 3 months
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