Summary
Mathieu Martial is an ML Research Engineer based in Paris with two years of hands-on experience building practical LLM and ML solutions. At Giskard he co-developed end-to-end RAG pipelines, improved retrieval and F1 scores through targeted fine-tuning, and contributed fairness mitigation code to an open-source QA platform—work he documented in technical articles including a Hugging Face piece. He’s comfortable turning research into product-ready components, from multimodal summarization pipelines to lightweight fine-tuning strategies that prioritize data efficiency. Trained in AI and computer engineering at Polytechnique Montréal and Télécom SudParis, Mathieu combines a strong mathematical background with creative problem-solving (previously applied to 3D modeling for film). He’s now seeking a junior role as an LLM Engineer, ML Engineer, or Data Scientist where he can scale his RAG, evaluation, and model-safety expertise.
2 years of coding experience
2 years of employment as a software developer
High School Diploma, Baccalauréat Scientifique, High School Diploma, Baccalauréat Scientifique at Lycée Lavoisier
MPSI/MP*, Mathematics, MPSI/MP*, Mathematics at Lycée Fénelon
Artificial Intelligence, Artificial Intelligence at Polytechnique Montréal
Engineer's degree, Computer Engineering, Engineer's degree, Computer Engineering at Télécom SudParis
French, English, Spanish, Japanese