Wassim Seifeddine is a Senior Research Scientist specializing in foundational research and a PhD researcher focused on floating-point arithmetic and multiple-precision machine learning, based in Paris with 11 years of experience. He currently builds foundation models at Thomson Reuters while also serving as CTO of TEDMOB, blending hands-on research with product and engineering leadership. His background spans leading ML teams, iOS development, DevOps, and founding two startups, giving him a rare full-stack view from hardware-precise numeric methods to deployed LLMs. He has academic roots at Nantes Université and ESIEE Paris and research experience at Inria and LS2N, which informs his rigorous approach to numerical stability in ML. Notably, he pairs deep theoretical expertise in floating-point behavior with practical experience training and deploying large language models. This combination makes him adept at turning numerical research insights into scalable ML systems and production-ready models.
11 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Lebanese University - Faculty of Sciences
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Nantes Université
iOS Developer nanodegree, Computer Science, Exceeding expectation on most projects, iOS Developer nanodegree, Computer Science, Exceeding expectation on most projects at Udacity
Masters Degree - Intelligent Systems - Diplome d'ingénieur, Computer Science, Masters Degree - Intelligent Systems - Diplome d'ingénieur, Computer Science at ESIEE PARIS
Contributions:14 PRs, 14 pushes, 1 branch in 1 year 11 months
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Wassim Seifeddine - Senior Research Scientist - Foundational Research