Summary
Nathan Clairmonte is a full-stack software engineer and machine learning specialist with nine years of experience building products from startup mobile apps to biomedical signal models. He moved from electrical engineering into CS/ML at McGill, where his M.Sc. work led a machine learning team to 92.5% average accuracy predicting vital signs and resulted in multiple publications. At Stocate he shipped a React Native mobile app and backend systems, briefly served as interim CTO, and now contributes to improving the digital workplace at Canonical. He also co-founded BIM AI and an e-learning platform, blending entrepreneurial drive with hands-on engineering and team leadership. Comfortable across React, .NET, TensorFlow/Keras and data tooling, he combines production-grade full-stack delivery with research-grade ML rigor. Outside work he produces music, follows Manchester United, and brings creative curiosity from hobbies into problem-solving.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at McGill University