I am an experienced NLP Data Scientist with over 5 years of expertise in France and the US. Specializing in natural language processing, I create innovative solutions for real-world challenges. My skills include Language Processing, Machine Learning, Python development, and Data manipulation.

Hold a Ph.D. from Ecole Normale Supérieure, where I focused on diversity and learnability in language learning. Advocate for open science and science communication. Former postdoctoral researcher at the Language and Cognition Lab, Stanford University, where I worked with big data, modeled reverse engineering of diverse languages, and gained a strong foundation in data science.

As the first hire at Qlip.ai, I drive its growth in the vibrant startup ecosystem of Station F & Agoranov. Key achievements include analyzing terabytes of livestream and podcast data with advanced NLP, conducting robust data analysis, and developing cutting-edge language processing algorithms. 

Led the creation of evaluation algorithms and conducted experiments to refine multilingual NLP models. Utilized advanced technologies like transformers, AWS, Git, and more. Collaborated and played a key role in team development and technical innovations. Demonstrated continuous professional development in NLP Data Science, excelling in a dynamic startup environment.