Software developer
Derek Duong
Software Engineering student at the University of Guelph, building machine learning and full-stack projects.
Software Engineering student at the University of Guelph, building machine learning and full-stack projects.
Developed a neural network from scratch using Python to analyze the MNIST dataset, building a strong foundation in machine learning and the math behind it.
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Developed a full-stack application to view, upload, and rotate elements on the periodic table.
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Built an end-to-end machine learning pipeline to classify phishing emails, combining 8 benchmark datasets into a corpus of over 200,000 emails. Achieved a 97% F1-score while uncovering how high-capacity models were exploiting dataset-specific artifacts rather than genuine phishing signals.
View on GitHubUtilized Python to implement machine learning models to analyze and respond to financial data, across two terms.
Diagnosis and resolution of issues, problem tracking, client training, hardware and software installation and configuration, and process improvement documentation.