Waris Radji
About Waris Radji
Waris Radji is a Research Engineer at Inria, specializing in data science and Scala programming. He has a background in computer science and aims to pursue a PhD in Machine Learning.
Work at Inria
Waris Radji currently serves as a Research Engineer at Inria, having joined the organization in 2023. His role is based in Villeneuve-d'Ascq, Hauts-de-France, France. Prior to his current position, he completed a six-month internship at Inria in the same location, where he gained valuable experience in research and development.
Education and Expertise
Waris Radji has a solid educational background in computer science. He studied at Université Sorbonne Paris Nord, where he earned a DUT in Informatique from 2018 to 2020. He furthered his studies at ENSEIRB-MATMECA, obtaining an Engineer's degree in Computer Science from 2020 to 2023. Additionally, he completed a Numerics Graduate Program at Université de Bordeaux, focusing on Optimisation and Decision in 2022. His expertise includes Scala programming and Data Science, with a particular interest in developing software for scientific applications.
Professional Experience
Waris Radji has held various positions in the tech industry. Before joining Inria, he worked as a Lead Kotlin Developer at Wellputt USA for five months in 2020-2021. He also served as a Scala Open-source Developer at Lunatech for three months in 2022. Additionally, he was a co-founder and president of the Artificial Intelligence Club at Eirb'IA from 2021 to 2022, where he contributed to initiatives in AI education and development.
Research Contributions
During his time at Laboratoire Scientifique de Paris Nord, Waris Radji implemented an unsupervised learning bio-algorithm in the Clustering4Ever library. This contribution reflects his commitment to advancing research in data science and machine learning, showcasing his ability to apply theoretical knowledge to practical applications.
Athletic Involvement
In addition to his academic and professional pursuits, Waris Radji is a high-level Street Lifting athlete. He is a member of the Fundamental Strength Project (FSP) team, where he engages in physical training and competition, demonstrating a commitment to personal fitness and strength development.