Antoine Guillaume is a research-focused AI engineer and PhD-trained computer scientist with a decade of experience building production-ready ML and predictive maintenance solutions across industry and academia. Currently a Research Fellow at Novahé & Constellation, he designs and integrates AI stacks using Docker, Milvus, Langflow and enterprise offerings like Watsonx to deliver R&D and client-facing systems. His background includes a CIFRE PhD and collaborations with EDF on rare-events forecasting from sensor time series, plus end-to-end predictive maintenance work for ATM fleets at Worldline. Comfortable moving between research, deployment and stakeholder communication, he blends rigorous algorithmic development with pragmatic engineering and toolchain integration. Based in Épernon, France, he often bridges open-source components and proprietary platforms to turn experimental models into operational services.
10 years of coding experience
3 years of employment as a software developer
A-levels, Electrical and Electronics Engineering, A-levels, Electrical and Electronics Engineering at Lycée Jules Ferry, Versailles
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université d'Orléans
Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. Documentation is WIP on read the docs.
Contributions:32 releases, 349 commits, 41 PRs in 1 year 9 months
ucr-archivepythonrdstunivariatenumba
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