Quentin Rivet
About Quentin Rivet
Quentin Rivet is a Data Analyst at Lexion, where he develops AI NLP models for legal language recognition and manages a team of data annotators. He has a background in mechanical engineering and has held various engineering roles in research and development across France and the United States.
Work at Lexion
Quentin Rivet has been employed at Lexion as a Data Analyst since 2021. He works in a hybrid environment based in Seattle, Washington. In his role, he develops AI Natural Language Processing (NLP) models that focus on legal language recognition. He manages a team of three data annotators to ensure the delivery of high-quality data analysis. Additionally, he is responsible for responding quickly to AI support requests from customers, ensuring efficient service and support.
Previous Experience
Before joining Lexion, Quentin Rivet worked at AI Data Innovations as a Data Transcriber-Annotator for two months in 2021. Prior to that, he held positions at Saint-Gobain Research Provence as an R&D Engineer in SMART Manufacturing from 2018 to 2019, and at Saint-Gobain Research North America as a Research Engineer focusing on Performance Plastic Composites from 2017 to 2018. These roles contributed to his expertise in data analysis and engineering.
Education and Expertise
Quentin Rivet studied at INSA Lyon - Institut National des Sciences Appliquées de Lyon, where he earned his Engineer degree in Mechanical Engineering, Plastic Processes, and Composites from 2013 to 2016. He also completed preparatory classes at the same institution from 2011 to 2013. Earlier, he obtained a Bachelor’s degree in Scientific studies from Lycée Jean Monnet between 2009 and 2011. His educational background provides a strong foundation for his work in data analysis and engineering.
Technical Skills
In his role at Lexion, Quentin Rivet utilizes various technical skills, including regex and confusion matrix techniques, to expand and maintain training data for AI models. He analyzes the quality and performance of these models on customer legal documents, ensuring that the AI systems function effectively and meet client needs. His technical expertise is integral to the development and refinement of AI-driven solutions.