Thomas Dermengea is currently a second-year Computer Science student at Queen's University and a Hardware Test Engineer Intern at AMD. They have developed skills in Machine Learning and Web Development, co-founding a successful home service business and leading a project on real-time road damage detection using CNNs. Additionally, Thomas has contributed as a Machine Learning Developer at QMIND and a Full Stack Developer for Queen's University Web Development, while also representing first-year students at the Queen's Startup Summit. Their innovative projects include creating an AI coding assistant and utilizing the Spotify API for a song finder SaaS.
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