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.
9 years of coding experience
7 years of employment as a software developer
Master's degree Optimisation and Machine Learning, Master's degree Optimisation and Machine Learning at Université de Caen Normandie
University of Seville
Erasmus master one semester Artificial Intelligence, Erasmus master one semester Artificial Intelligence at Charles University
Contributions:32 commits, 23 pushes, 1 branch in 3 months
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