Mister Fields
Creative Technologist
Mister Fields is a creative technologist whose work bridges studio practice with emerging technology. As a responsible innovator, he builds tools that augment human agency while developing a philosophy of practice that keeps human creativity central to technological innovation.
Studio Practice
Paintings and gallery works exploring perception and technology
Technical Work
Deployed applications, research prototypes, and creative tools
About
Philosophy of practice, background in NLP research, and current work at SMU
Selected Work
Technical projects bridging AI, creativity, and human agency
CamelBeast
Foreign-Language Corpus Analysis Pipeline
Rust-core corpus analysis pipeline powering nik³. Multi-source ingestion, SQLite corpus, cosine similarity scoring, register classification, and transformer-based NER. Available for review under NDA.
Rust
SQLite
NLP
Corpus Analysis
NER
AI-Powered Color Matching for Artists
Web application that analyzes artwork and recommends specific colored pencils using the Delta-E 2000 algorithm for perceptually accurate color matching. Built in 2 weeks and deployed to production.
Next.js 15
TypeScript
Tailwind CSS
p5.js
Vercel
Cognitive Load Optimization
Interactive automation tool that removes decision fatigue from complex multi-step workflows through intelligent task orchestration and process visualization.
PWA
Mobile-First
JavaScript
UX Design
qScribe
Adaptive Learning Through Edge AI
Prototype / Research Phase
qScribe explores how local LLMs can personalize education by mapping individual desires, behaviors, and passions to learning outcomes. Deployed on Raspberry Pi 5, the system uses multi-modal interaction to adapt to each learner's unique context—without cloud connectivity or data extraction. Investigates AI ethics in practice: respecting learner agency, preserving privacy, and ensuring human value alignment in educational technology.
Raspberry Pi 5
Llama 3.2 Vision
Edge ML
Python
Multi-modal AI
AR Skateboarding Instruction — iPhone LiDAR + ARKit
SK8-XR uses iPhone LiDAR and ARKit to deliver location-aware AR skateboarding instruction. The app overlays technique guidance and motion feedback onto real skating environments, making coaching accessible without a coach present.
Unity
ARKit
LiDAR
iPhone