Nicolas Des Aunais
About Nicolas Des Aunais
Nicolas Des Aunais is a Senior Machine Learning Engineer with extensive experience in developing micro-services and machine learning models. He has previously worked at notable companies such as Samsung and Dassault Systèmes, and holds degrees in Telecommunications Engineering and Electrical Engineering.
Current Role at wefox
Nicolas Des Aunais serves as a Senior Machine Learning Engineer at wefox, a position he has held since 2021. He operates in the Paris area and focuses on developing advanced machine learning solutions. His role involves designing and implementing algorithms that enhance the company's offerings in the insurance technology sector.
Previous Experience at Samsung Strategy and Innovation Center
Prior to his current role, Nicolas worked as an AI Software Engineer at Samsung Strategy and Innovation Center from 2018 to 2021. During his three years in the Paris area, he contributed to various AI projects, leveraging his expertise in machine learning to drive innovation within the organization.
Experience at Dassault Systèmes
Nicolas held the position of CATIA, Photo and Video Modeling Engineer at Dassault Systèmes from 2015 to 2018. His work in Velizy-Villacoublay spanned three years, where he applied his engineering skills to develop modeling solutions for the company's software products.
Educational Background in Engineering
Nicolas Des Aunais studied Telecommunications Engineering at Ecole nationale supérieure d'Electronique, Informatique et de Radiocommunications de Bordeaux, where he earned an Engineer's degree from 2011 to 2014. He also completed Classes préparatoires aux Grandes Ecoles Scientifiques at Lycée Chateaubriand in Rennes from 2009 to 2011, focusing on Mathematics. Additionally, he studied Electrical, Electronics and Communications Engineering at the University of California, Santa Cruz for one year in 2013-2014.
Technical Contributions and Projects
Nicolas has developed a text reading micro-service that implements and trains German text classification models using FastText and SageMaker. He utilizes Rust and the actix framework to create user-facing micro-services that interact with SageMaker. His work includes implementing a Python pipeline for information extraction from documents using object detection machine learning models, advocating for test-driven development (TDD), and deploying microservices and machine learning models to production environments using Kubernetes.