Kiewan Villatel
About Kiewan Villatel
Kiewan Villatel is a Senior Machine Learning Engineer and Technical Lead at Nexthink, with a background in machine learning research and software engineering. He has worked in various roles across companies such as Criteo, Euriware, and Thales Services, and holds an Engineer's Degree in Mathematics and Computer Science from the National School of Computer Science and Applied Mathematics of Grenoble.
Current Role at Nexthink
Kiewan Villatel serves as a Senior Machine Learning Engineer and Technical Lead at Nexthink since 2019. Based in the Lausanne Area, Switzerland, he focuses on developing machine learning applications and leading technical projects. His role involves leveraging his expertise in machine learning to enhance the company's offerings.
Previous Experience at Criteo
Prior to his current position, Kiewan Villatel worked at Criteo as a Research Scientist from 2017 to 2019. During his two years in this role, he contributed to research initiatives in machine learning, applying his skills to advance the company's technology in the competitive advertising sector.
Background in Software Engineering
Kiewan Villatel has a solid background in software engineering. He worked at Thales Services as a Software Engineer from 2012 to 2015 and at Criteo as an R&D Software Engineer from 2015 to 2017. His experience in these roles involved developing software solutions and contributing to research and development projects.
Education and Expertise
Kiewan Villatel studied at the National School of Computer Science and Applied Mathematics of Grenoble, where he earned an Engineer's Degree in Mathematics and Computer Science from 2009 to 2012. His educational background laid the foundation for his diverse skill set, which includes frontend and backend development, as well as machine learning research.
Internship Experience at Euriware
Kiewan Villatel completed a one-month internship as an R&D Engineer at Euriware in 2010. This early experience contributed to his understanding of research and development processes in technology, further shaping his career in machine learning and software engineering.