Thibault Dody is a Senior Data Scientist with a decade of experience building production-ready ML systems, currently leading propensity modeling, bias detection, and recommender initiatives at Faraday. He combines a strong research and deployment mindset—developing classifiers, time-series and NLP models and shipping them in Dockerized AWS/SageMaker pipelines—with hands-on client collaboration to translate business needs into robust models. Before Faraday he built threat and sentiment detection systems at Navigate360/Social Sentinel, and earlier applied probabilistic risk analysis and high-resolution finite element modeling in the nuclear industry. Trained at MIT and ESTP Paris, he bridges structural engineering rigor with modern ML tooling (TensorFlow, PyTorch, Hugging Face, BigQueryML). Notably, he has a track record of creating internal engineering software and bias-mitigation algorithms, reflecting a practical focus on trustworthy, scalable AI.
10 years of coding experience
8 years of employment as a software developer
Master of Engineering (M.Eng.), Structural Engineering, Master of Engineering (M.Eng.), Structural Engineering at Massachusetts Institute of Technology
Master of Science (M.Sc.), Civil Engineering, Structural Engineering, Top 2%, Master of Science (M.Sc.), Civil Engineering, Structural Engineering, Top 2% at Ecole spéciale des Travaux publics, du Bâtiment et de l'Industrie
Mathematics, Physics and Engineering Sciences, Mathematics, Physics and Engineering Sciences at Classes Préparatoires, Lycée Victor Hugo
Contributions:24 commits, 18 pushes, 1 branch in 8 days
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