I graduated from the Ecole Centrale d'Electronique ECE Paris in Health & Technologies with a specialization in health data and particularly have strong skills in Python. I recently went back to school to add an artificial intelligence dimension to my profile. I'm finishing a course in Machine Learning with Datascientest school. Having started out in the medical field, I quickly understood the strategic importance of artificial intelligence and machine learning. That's why I chose to complete my engineering course with a specialization in AI. For the past year, I've been doing a work-study program at Devoteam, where I've had the opportunity to work on a wide variety of artificial intelligence research topics. In particular, I've been involved in training Small Language Models (SLMs), evaluating Large Language Models (LLMs) and Vision-Language Models (VLMs), and developing Knowledge-Augmented Generation (KAG) architectures, Retrieval-Augmented Generation (RAG) systems and hybrid variants combining the two approaches. I have also worked on information retrieval, reinforcing my detailed understanding of information access and semantic relevance mechanisms. In addition to my acquired skills in machine learning/ AI, I was able to experience different roles within the medical field. This has enabled me to acquire a variety of skills, firstly in research at the Institut Langevin CNRS/Inserm during internships and collaborative end-of-study projects, which led to a publication concerning the study of new cardiac physiological indicators via Ultrafast Ultrasound (Aixplorer). These projects enabled me to develop my ability to interact with medical professionals and gain a thorough understanding of their needs, particularly in the cardiology field. I'm always curious and interested in new projects, and that's why I've started studying again with my IA work-study program. I hope to be able to offer your company a sharp mind, eager to improve and learn in order to offer the best possible services.…I graduated from the Ecole Centrale d'Electronique ECE Paris in Health & Technologies with a specialization in health data and particularly have strong skills in Python. I recently went back to school to add an artificial intelligence dimension to my profile. I'm finishing a course in Machine Learning with Datascientest school. Having started out in the medical field, I quickly understood the strategic importance of artificial intelligence and machine learning. That's why I chose to complete my engineering course with a specialization in AI. For the past year, I've been doing a work-study program at Devoteam, where I've had the opportunity to work on a wide variety of artificial intelligence research topics. In particular, I've been involved in training Small Language Models (SLMs), evaluating Large Language Models (LLMs) and Vision-Language Models (VLMs), and developing Knowledge-Augmented Generation (KAG) architectures, Retrieval-Augmented Generation (RAG) systems and hybrid variants combining the two approaches. I have also worked on information retrieval, reinforcing my detailed understanding of information access and semantic relevance mechanisms. In addition to my acquired skills in machine learning/ AI, I was able to experience different roles within the medical field. This has enabled me to acquire a variety of skills, firstly in research at the Institut Langevin CNRS/Inserm during internships and collaborative end-of-study projects, which led to a publication concerning the study of new cardiac physiological indicators via Ultrafast Ultrasound (Aixplorer). These projects enabled me to develop my ability to interact with medical professionals and gain a thorough understanding of their needs, particularly in the cardiology field. I'm always curious and interested in new projects, and that's why I've started studying again with my IA work-study program. I hope to be able to offer your company a sharp mind, eager to improve and learn in order to offer the best possible services.WWWW…