AI Researcher & Systems Architect | Spiking Neural Networks, Emergent AI
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I am an independent AI researcher and systems architect focused on novel neural architectures beyond the Transformer paradigm. I design label-free, backpropagation-free, biologically grounded systems using spiking LIF units, reservoir computing, hyperdimensional representations, and emergent multi-agent approaches. My work includes C3 Cube / HyperNeurone, a hyperdimensional cortical-column network for arrhythmia detection that achieved 150/150 results on the MIT-BIH ECG dataset, and ΩMEGA AI, a cognitive exocortex combining reservoir systems with hyperdimensional memory for continuous, plastic context retention. I also build resilient distributed architectures, autonomous fallback mechanisms, and self-repairing multi-agent topologies. I work across Python, TypeScript, React, FastAPI, Docker, C/C++, and GitHub. My approach starts by identifying a problem's structural invariant, then designing systems where efficient behavior can emerge locally. I am comfortable moving from research concepts and prototypes to production-oriented software, including zero-knowledge and identity-free authentication systems.
The tester clearly documented a reproducible onboarding permission blocker with narrated video, screenshots, expected-versus-actual behavior, and the available environment details. The blocker prevented coverage of the remaining core sections, and the exact Firefox version was not provided, but the accessible flow was investigated and reported usefully.
Sazabi App – Core Flows QA · Aug 18, 2026