Robin Moine

Background

About Robin Moine

Curious and persevering, I have developed skills in AI, particularly in computer vision, natural language processing and graphs deep learning analysis (Keras and Pytorch). My two first internships allowed me to learn autonomously the principal computer vision architectures. Then my studies at Polytechnique Montréal provided me with theoretical knowledge of deep learning architectures and machine learning technics. I applied them in my master project where I compared machine learning local search algorithms for three problems: the clustering, the tsp and maxsat. This project also allowed me to compare vision transformer and traditionnal convolutional networks with Wandb. In paralell of my master I participated in competitions which allowed me to work on NLP and graph neural network for graph links predictions. Through all of these projects I attach great importance to code quality and reproducibility of results by versioning the code and data and providing a documentation. Working with professionals from other sectors has encouraged me to present my results in a visual, intuitive and interactive way. Always motivated, I look forward to exchange with others, diffuse and apply AI knowledges