Summary
Thibault Boutet is a Paris-based Machine Learning Engineer with nine years of experience building production-grade AI systems that bridge research and product delivery. He has shipped end-to-end solutions across healthcare and SaaS—from fine-tuning LLMs and distributed deep-learning pipelines at Siemens Healthineers to prototyping a multimodal early stroke detection API combining computer vision, motion tracking, and speech analysis. Equally comfortable in backend engineering and front-end migration work, he improved Hyvor’s UI performance by 20% while integrating numerous third-party APIs to extend platform capabilities. He’s delivered practical RAG and SQL-generation pipelines for clinical queries, implemented self-supervised methods on large 3D medical volumes, and published consumer apps with 10k+ users—demonstrating a mix of research rigor and product sensibility. Notably, he pairs hands-on model tuning with system-level optimizations (distributed GPU training, dynamic few-shot strategies), making models useful at scale.
9 years of coding experience
2 years of employment as a software developer
Informatique, Informatique at Rīgas Tehniskā universitāte (Riga Technical University)
Engineer, Compturer science, Engineer, Compturer science at EPITA: School of engineering and computer science
High school diploma, Mathematic and Physics, High school diploma, Mathematic and Physics at Lycée du pays de retz