Investigating the phenomenological dimensions of human-AI interaction, adaptive learning systems, and computer vision. U.S. Air Force veteran. M.S. Computer Science (AI/ML).
Each project explores a different dimension of how humans learn, interact with, and relate to intelligent systems.
Human-AI Conversational Interaction
Voice-first AI companion exploring phenomenological dimensions of human-AI relationships. 70+ episode longitudinal study across Gemini, Claude, ChatGPT, and Grok. Novel H.E.R.V.A.C. benchmark and Nine Circles adversarial stress-testing protocol.
Adaptive Learning Engine
10 production apps across 4 brands with 25,000+ questions. 8 proprietary algorithms grounded in 30+ peer-reviewed citations in cognitive science, metacognition, and testing psychology.
Real-Time Biomechanical Assessment
Computer vision system for exercise form analysis using MediaPipe pose estimation, Variational Autoencoder quality scoring, and Random Forest classification. Real-time feedback for injury prevention.
AI engineer, researcher, and U.S. Air Force combat veteran investigating how humans learn, interact with, and relate to intelligent systems. Currently completing an M.S. in Computer Science (AI/ML) and applying to PhD programs in Human-Centered AI.
Background spans military service (455 combat sorties, Air Medal), kinesiology research (M.S., 3.87 GPA), and applied AI engineering. Founded Meridian Labs — 10 production apps grounded in cognitive science. Active research in human-AI conversational dynamics (Her OS) and computer vision for biomechanical assessment (ZENith).