Victor Le

Victor Le has a diverse work experience spanning various roles in different companies. Victor started their career at EDF as a C# VBA Developer from August 2014 to September 2015. Victor then worked as a Fullstack Developer at Steery from September 2015 to July 2016. After that, they joined Bull as a Software Engineer, where they were involved in R&D, developing an orchestration system for HPC and Cloud using technologies like Golang, Terraform, and Ansible. Victor also worked on computer vision projects, developing video tracking and object detection systems using Python, OpenCV, and TensorFlow. Their time at Bull lasted from July 2016 to August 2018. Victor Le then joined InstaDeep as an ML Software Engineer in September 2018. At InstaDeep, they worked on developing a Deep Reinforcement Learning system for NP-hard decision-making problems, with applications in logistics and hardware. Victor Le also had an entrepreneurial experience as a Co Founder of 11th District Games, starting from January 2015 and ending in January 2019.

Victor Le's education history shows that they attended EPFL (École polytechnique fédérale de Lausanne) from 2017 to 2018, where they studied Computer Science but did not obtain a degree. Prior to that, from 2015 to 2018, they attended the National School of Computer Science and Applied Mathematics of Grenoble and earned a Diplôme d'ingénieur in Mathématiques et informatique. Before that, from 2013 to 2015, they studied Informatique at Université Paris Cité and obtained a DUT Informatique degree. Their earlier education includes a Baccalauréat Scientifique option Sciences de l'Ingénieur, which they obtained from Lycée Edouard Branly from 2010 to 2013.

In addition to their formal education, Victor Le has also obtained several certifications. In 2018, they completed a certification in Convolutional Neural Networks from deeplearning.ai. In 2017, they completed certifications in Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, and Neural Networks and Deep Learning, all from deeplearning.ai. Prior to that, in 2017, they completed a certification in Machine Learning from Stanford University.