Rayan Samy Ramoul
About Rayan Samy Ramoul
Rayan Samy Ramoul is a Research Engineer specializing in LLM Engineering at InstaDeep in Paris, France. He has a strong background in artificial intelligence and machine learning, with previous roles at QUANT AI Lab and research internships at various institutions.
Work at InstaDeep
Rayan Samy Ramoul has been employed at InstaDeep as a Research Engineer specializing in LLM since 2024. His role focuses on advancements in language model technologies. He is based in Paris, Île-de-France, France, where he has contributed to the company's research initiatives for a duration of seven months.
Previous Experience at QUANT AI Lab
Prior to his current position, Rayan worked at QUANT AI Lab. He served as an AI Engineer from 2021 to 2023, followed by a role as a Confirmed AI Engineer from 2023 to 2024. His tenure at QUANT AI Lab spanned a total of two years and nine months, where he developed and deployed machine learning models with an emphasis on CI/CD processes.
Educational Background
Rayan Samy Ramoul has a comprehensive educational background in artificial intelligence and related fields. He achieved a Master's degree in IMA (Machine Learning, Computer Vision, Mathematics) from Télécom Paris, studying from 2020 to 2021. He also completed a Bachelor's degree in Mathematics and Computer Science at Université des Sciences et de la Technologie 'Houari Boumediène'. Additionally, he obtained a Master 1 (M1) in Artificial Intelligence from Université Paris-Saclay in 2019.
Research Internships
Rayan has gained valuable experience through various research internships. He interned at Laboratoire de Recherche en Intelligence Artificielle (LRIA) in Machine Learning from 2017 to 2018 for eight months in Algiers, Algeria. He also completed a six-month internship in Deep Learning at Sorbonne Université in 2021, further enhancing his expertise in the field.
Entrepreneurial Studies
In addition to his technical education, Rayan studied Entrepreneurship/Entrepreneurial Studies at CELSA Paris-Sorbonne from 2021 to 2022. This program lasted nine months and provided him with insights into the entrepreneurial aspects of technology and innovation.