Summary
Matthieu Kieffer is an AI expert and leader with eight years of experience turning research-grade ML and NLP into production products, most recently driving group-wide AI adoption and modernization at Orisha from Paris. He built and led AI departments at Testapic (acquired by UserTesting) and UserTesting, shipping LLM-based prototypes and a generative model that automated UX test summarization and cut manual analysis time dramatically. With a PhD in Astroparticle Physics, he combines rigorous scientific methodology and advanced statistical ML from large-scale physics experiments with hands-on engineering across data pipelines, cloud infrastructure and front-end prototypes. Matthieu is experienced in mentoring teams, scaling AI roadmaps, and embedding AI into business processes—often through concrete POCs, training programs and technical standards. A not-so-obvious strength: his background in large international scientific collaborations taught him to deliver complex projects across distributed, multilingual teams while keeping a strong product focus.
8 years of coding experience
2 years of employment as a software developer
BSc + Master degree in Fundamental Physics Nuclei Particles Astroparticles and Cosmology (NPAC), BSc + Master degree in Fundamental Physics Nuclei Particles Astroparticles and Cosmology (NPAC) at Paris-Sud University (Paris XI)
PhD Astroparticle Physics | Subject: Indirect Search for Dark Matter with the H.E.S.S. Experiment, PhD Astroparticle Physics | Subject: Indirect Search for Dark Matter with the H.E.S.S. Experiment at Université Pierre et Marie Curie & Humboldt-Universität zu Berlin
Classes Préparatoires aux Grandes Ecoles Physics & Engineering (PCSI - PSI), Classes Préparatoires aux Grandes Ecoles Physics & Engineering (PCSI - PSI) at Lycée Kléber (Strasbourg) - Preparatory School
Baccalauréat Science, Baccalauréat Science at Lycée Louis Couffignal (Strasbourg) - High School
French, English, German