I'm a mathematician and AI researcher specializing in fuzzy differentiable algebraic systems and manifold-constrained neural dynamics.
I focus on bridging theoretical mathematics with practical implementation, developing novel frameworks including F-DAGS and DTE-HDM that translate complex theorems into efficient PyTorch code. My research spans helical encoding techniques, DNA-inspired memory structures, and multi-agent systems that maintain perfect mathematical guarantees during operation.