I developed a SaaS solution for asynchronous meetings, designed to reduce time spent in traditional meetings. It is built with Django (Python), Htmx and Tailwind CSS. It uses DigitalOcean and Amazon Web Services (AWS).
I created and led an AI/machine learning laboratory, specializing in speech and using large models like wavLM and HuBERT. My responsibilities included server management, prototype creation and team leadership. I also developed an activity report website in Django (Python), Htmx and Tailwind CSS, and hosted on DigitalOcean.
I co-managed an AI/machine learning laboratory focused on natural language processing (NLP). I led NLP projects, leveraging large language models (LLM) like BERT and RoBERTa.
I designed and implemented AI/machine learning algorithms for analyzing French newsreels, focusing on optical character recognition (OCR), transcription, and named entity recognition (NER) tasks. These helped to understand French historical media.
I developed Python AI/machine learning algorithms, specifically focusing on diarization, to enhance INA’s data and help documentalists.
An open-source TypeScript, React and Node.js extension for Raycast dedicated to KeePassXC and used by 2,500 users.
An open-source Python AI/machine learning toolkit dedicated to speaker diarization.