AI & Systems
Agentic applications, inference systems, software infrastructure, and computational tooling — built to understand how capable systems behave in practice.
AI systems, computational R&D, and the occasional question that refuses to stay theoretical.
Alongside my professional engineering work, I maintain a small independent R&D practice: a place to build experimental AI applications, computational tools, and systems that begin as questions rather than product requirements.
Agentic applications, inference systems, software infrastructure, and computational tooling — built to understand how capable systems behave in practice.
Exploratory work in dynamical systems, geometry, simulation, and mathematical models, often used to make abstract structure concrete.
Adversarial evaluation, failure-mode analysis, and defensive testing of AI and software systems in authorized environments.
The practice is intentionally small. It exists for independent technical work outside my primary professional role. Security testing is limited to systems I own, control, or am explicitly authorized to assess; the public surface stays intentionally sparse.
It is not a stock animation. Each material point is a normalized two-component spinor. A spatially varying Hermitian Hamiltonian evolves the field exactly and unitarily; the visible geometry is built from its Bloch bilinear. The trailing filaments are nearby moments of the same conserved flow.