• Multimodal detection across video, audio, image, and satellite media—built for compression, distribution shift, and conditions outside benchmark sets
• AITruthCheck.app: installation-free tool aimed especially at seniors and teens; multilingual architecture for real deployment contexts
• Piloting at two private schools as an educational deepfake-detection program; traces directly to peer-reviewed IEEE work
• Two patents pending: domain-shift evaluation methodology and quad-stream detection architecture

• Built the organization's first ML model (algorithmic bias in loan approval data); coursework takes students from first research question to first published paper
• Hands-on curriculum: training, evaluation, ethical analysis; students were part of the publication process
• Methodology published in the International Journal of Advanced Research in Computer and Communication Engineering

Gen-Z streetwear from zero—because consumer product is a different problem than research systems. 1,000+ products sold; full-stack e-commerce, brand, and end-to-end ownership from creative direction to fulfillment.

• 6,000+ students reached (SVEF, National 4-H GIS AI, private school pilots combined)
• 35 school districts using Tech Demystified books
• 3 SVEF Elevate CS classes taught (summer 2025)
• 75+ students per year at Knowledge House STEM Academy
• 2 private schools running active DeepTrust / AITruthCheck pilots
• 3 books published; 1,000+ products sold (Atremo / Hathor)

DeepTrust began as peer-reviewed work on domain shift in deepfake detection, became patent-pending platform and a public tool, and is now in active educational pilots—the research drove the product; the product reaches the people the research was written for.