About

I'm a Computer Science student at the University of Transilvania Brașov, passionate about building software that makes a difference. My background spans front-end development, back-end systems, and cross-platform applications.

I believe knowledge is both a tool for success and a responsibility, so I aim to use it wisely and creatively. I thrive on problem-solving, continuous learning, and building solutions from the ground up.

Independent researcher with interest in discrete mathematics and AI architectures inspired by neuroscience.

On the mathematics side, I work on discrete dynamical systems over integers — operators with emergent properties such as fixed points, cycles, attraction basins, and power-law distributions. I explore positional representations and associated polynomial structures, with a focus on iterative behavior and invariants that arise organically from elementary arithmetic.

On the AI side, I'm interested in architectures that move away from the classical gradient-based and probabilistic paradigm — systems that learn through deterministic addressing, associative memory, and sparse representations. Theoretical influences draw from computational neuroscience, particularly theories of hierarchical information processing in the cortex and the principle of a universal algorithm operating at different scales of abstraction.

The connection between the two directions — how discrete mathematical structures can ground mechanisms of learning and generalization — is the central question that unites them.