Fenix Wiles

About Fenix Wiles

I'm a full-stack developer and qualitative researcher passionate about bridging the gap between cutting-edge technology and meaningful human experience. Currently a senior at The University of Texas at San Antonio with an expected graduation in May 2026, my work has been published in the International Journal of Qualitative Methods, exploring how AI can serve as a collaborative partner in research and creative processes.

My Journey

My path has been anything but linear. From a successful sales career at AT&T (March 2022 - August 2024) to becoming a developer and researcher, I've always been driven by curiosity about how technology can enhance human potential rather than replace it.

Technical Expertise

I specialize in full-stack development with a focus on:

My flagship project, Marnie, demonstrates this approach — an AI-assisted research audit platform built on the Recursive Cognition framework from my published research. It coordinates multiple AI agents to evaluate written arguments through structured recursive analysis, making the reasoning process transparent and testable.

Research Focus

My academic work centers on recursive methodologies and AI-mediated inquiry. I'm particularly interested in how we can develop research frameworks that treat AI as a thinking partner rather than just a tool, exploring questions of co-authorship, reflexivity, and the epistemological implications of human-AI collaboration.

Philosophy

I believe in rigor without rigidity — whether in code or research. The best solutions emerge from understanding both technical possibilities and human needs. My work aims to create bridges: between academia and industry, between human insight and computational power, between theory and practice.