Class Artifacts Academic portfolio from AI/ML coursework Thomas Nguyen

These artifacts were created as part of my graduate-level AI/ML coursework at Indiana Wesleyan University. Each one connects academic frameworks to real engineering — from self-assessment reflections to full application builds and research prototypes.

Every artifact links to its full hosted version. Click to view.

  • A structured self-assessment exploring my current capabilities in AI/ML integration and change leadership, with honest reflection on strengths, gaps, and growth areas.

     Artifact 1: AI/ML + Change Leadership Self-Assessment

  • A full AI-powered chat application built for EveryParent — demonstrating applied conversational AI, product design, and real-world deployment thinking.

     Artifact 2: EveryParent AI Chat Application

  • A professional newsletter exploring the intersection of AI and cardiac diagnostics — covering how machine learning models are transforming ECG screening at scale.

     Artifact 3: AI-Powered ECG Screening Newsletter

  • A proof-of-concept applying self-supervised Vision Transformers to biological instance segmentation in C. elegans — building toward anomaly detection world models.

     Artifact 4: Biological Anomaly Detection World Model