Matthias Lemainque is a Staff Machine Learning Engineer with a decade of experience building and industrializing ML and MLOps solutions, currently driving LLM fine-tuning and production AI at ManoMano. Trained at CentraleSupélec, he has deep expertise in time series, NLP, causal inference and scalable pipelines from his Airbus and CS Group work, and now focuses on on-prem LLMs, TRL/PEFT, vLLM and Kubernetes-based deployment. He leads multi-disciplinary teams, shapes long-term MLOps vision, and regularly partners with commercial stakeholders to translate business and UX needs into technical scope. His background combines hands-on software engineering—parallel computing, AWS, optimization—with rigorous model evaluation like A/B testing and elasticity analysis. Notably, he progressed from applied research in aerospace prognostics to operationalizing large language models at scale, showing an ability to move complex models into reliable production. Based in Greater Toulouse, he pairs technical rigor with an appetite for pragmatic, business-oriented solutions.
10 years of coding experience
6 years of employment as a software developer
Diplôme d'ingénieur, Diplôme d'ingénieur at CentraleSupélec
Intensive preparation courses Physics and Engineering Sciences, Intensive preparation courses Physics and Engineering Sciences at Condorcet College, Paris
Contributions:9 pushes, 6 branches in 2 years 7 months
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Matthias Lemainque - Staff Machine Learning Engineer at ManoMano