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Nathan Labbe has a strong background in machine learning and MLOps engineering. Their most recent position is as an MLOps Engineer at EasyMile, where they started in November 2022. Prior to that, they worked as a Machine Learning Consultant at Knowit from September 2021 to November 2022. At Knowit, Nathan's responsibilities included creating data pipelines, preprocessing and cleaning data, implementing and training models, and deploying them. Nathan also played an active role in developing an internal platform for the machine learning team.

Before joining Knowit, Nathan worked as a Master Thesis Intern at Cybercom Group from January 2021 to July 2021. During this time, they focused on studying machine learning methods to detect illegal gold mines in the Amazon forest using satellite images. Nathan used various models and techniques implemented with TensorFlow, Python, and PyTorch to achieve successful results.

In 2020, Nathan worked at Blacknut as part of the platform deployment team on the OVH cloud. Their role involved implementing and deploying Blacknut's cloud gaming solution using tools such as OpenStack API, Docker, and Terraform.

Overall, Nathan Labbe has gained valuable experience in machine learning, MLOps engineering, data preprocessing, model implementation, and deployment. Nathan has successfully contributed to a variety of projects and demonstrated strong technical skills in the field.

Nathan Labbe has a strong educational background in the field of computer science and cloud computing. Nathan obtained a Master's degree in cloud computing and artificial intelligence from KTH Royal Institute of Technology from 2019 to 2021. During the same period, they also earned another Master's degree in cloud computing from Université de Rennes I. Prior to their Master's studies, Nathan completed a Licentiate degree in Informatique from Université de Rennes I from 2016 to 2019.

In addition to their academic degrees, Nathan has further enhanced their knowledge and skills through various certifications. Nathan completed courses such as "Object-Oriented Data Structures in C++" and "Ordered Data Structures" through Coursera in April 2022. Nathan also gained expertise in "Digital Sustainability" from KTH Royal Institute of Technology in October 2021 and obtained a certification in "Big Data Analytics" from EIT Digital in August 2020.