Xavier Weber
About Xavier Weber
Xavier Weber is a Computer Vision Research Engineer currently working at iProov in the London Area, United Kingdom. He has a diverse educational background in econometrics, artificial intelligence, and data science, along with experience in machine learning and computer vision from previous roles at Google Summer of Code and NAVER Corp.
Current Position at iProov
Xavier Weber currently serves as a Computer Vision Research Engineer at iProov, a position he has held since 2023. He is based in the London Area, United Kingdom. In this role, he focuses on developing advanced computer vision technologies that enhance user authentication and security solutions.
Previous Experience at Google Summer of Code
In 2019, Xavier Weber participated in Google Summer of Code as a Student Developer for OpenCV. This three-month program allowed him to contribute to the development of OpenCV, a widely used open-source computer vision library, gaining valuable experience in software development and collaborative projects.
Internship at NAVER Corp
Before joining iProov, Xavier Weber worked as a Machine Learning Intern at NAVER Corp in 2018. His internship lasted four months and took place in Seongnam, Gyeonggi-do, Korea. During this time, he gained practical experience in machine learning applications within a corporate environment.
Academic Background in Artificial Intelligence
Xavier Weber earned a Master of Science in Artificial Intelligence from Queen Mary University of London, completing his studies from 2019 to 2020. This program provided him with a strong foundation in AI principles and applications, which he applies in his current research role.
Education in Data Science and Econometrics
Xavier Weber holds a Bachelor of Science in Data Science and Knowledge Engineering from Maastricht University, which he completed from 2015 to 2019. Additionally, he studied Econometrics and Operations Research at Maastricht University School of Business and Economics for one year from 2014 to 2015. This diverse educational background supports his expertise in data analysis and computational methods.