Antoine is an R&D Machine Learning Engineer currently working at LightOn. During his thesis, he explored guiding generative models to create better synthetic data and train multimodal retrieval models to fight misinformation.

After joining LightOn, he has focused on Information Retrieval, notably by co-leading the ModernBERT project and co-creating PyLate, a library to train and experiment with multi-vector retrieval, which lead to state-of-the-art models such as GTE-ModernColBERT and Reason-ModernColBERT.  Antoine also continues to work on multimodal projects, notably by the creation of OCR-free retrieval pipelines and visual document rerankers such as MonoQwen.

Hamel is a machine learning engineer with over 20 years of experience. He has worked with innovative companies such as Airbnb and GitHub, which included early LLM research used by OpenAI, for code understanding. He has also led and contributed to numerous popular open-source machine-learning tools. Hamel is currently an independent consultant helping companies build AI products.