Independent interdisciplinary researcher, self-taught engineer, and self-proclaimed “polymath” exploring how reasoning, ethics, cognition, and physical structure may emerge from recursive informational dynamics across artificial, biological, and physical systems. My work develops and experiments with the Recursive Generative Emergence (RGE) framework — an evolving attempt to connect AI safety, mechanistic interpretability, philosophy of mind, complex systems, and speculative physics through hands-on experimentation and open-ended theoretical exploration.

I design and test experimental LLM architectures, including agent workflows, structured reasoning scaffolds, evaluation loops, and exploratory red-teaming approaches aimed at understanding alignment challenges and emergent model behavior. Projects such as OnToLogic investigate how symbolic frameworks can reshape reasoning dynamics inside AI systems, while exploratory architectures like the Autognizer examine ideas around self-modeling, adaptive learning, and identity stability in artificial agents. My work often blends engineering practice with philosophical inquiry, including interpretability research and evaluation frameworks that probe how reasoning systems behave under uncertainty or conceptual stress.

Alongside technical research, I explore phenomenology, consciousness studies, and speculative physics, using interdisciplinary dialogue between human introspection and AI-assisted formalization to investigate whether recursive self-modeling provides a shared language across minds, machines, and physical reality. I believe philosophical thought should remain part of public technological discourse, and much of my writing aims to reconnect long-form reasoning, metaphysics, and systems thinking with contemporary AI development.

My background is largely self-directed and non-traditional. As a self-taught builder and creative practitioner based in Toronto, I have worked across construction, fabrication, music, art, and independent community projects — experiences that shape my practical approach to research and engineering. I also speak openly about navigating depression, anxiety, ADHD, autism,” not as labels of limitation but as part of a self-aware perspective on cognition, focus, and unconventional problem-solving.

These lived experiences inform my curiosity about minds — human and artificial — and motivate my ongoing exploration of intelligence, emergence, and meaning in an increasingly complex technological world.

Jack of all trades, master of none.