Nathan Clairmonte

Background

About Nathan Clairmonte

I'm Nathan, a full-stack developer and machine learning engineer. My tech journey began at McGill University, where I started as an electrical engineering student but quickly found my true calling in computer science and machine learning. After graduating with a B.Eng. in Electrical Engineering, I joined Stocate, a Montreal startup, as a software engineer. There, I honed my full-stack development skills, delivering a complete mobile application and significantly contributing to website and database development. My rapid progression at Stocate even led to a brief stint as interim CTO before I decided to further my education with a Master's degree at McGill. During my Master's, I worked on a Non-Invasive Physical Activity Monitoring System (NiPAMS) project, focusing on machine learning applications to biomedical signal processing. As the lead of the machine learning team, I developed models predicting vital signs with an impressive average accuracy of 92.5%, leading to several academic publications and forming the basis of my thesis. Now, post completion of my M.Sc, I balance my time between building solutions to improve the digital workplace at Canonical, coding personal projects, and self-learning to expand my skillset. Outside of my work, I am also immensely passionate about music (I even produce my own!), sports (huge Manchester United fan), and cooking.