I am a full-stack AI builder, a dedicated problem solver, and an approachable collaborator. I handle the entire AI project cycle—from the initial problem scoping phase all the way to deployment and beyond. I prefer building things people can actually use over writing theoretical papers that just sit on a shelf.
The Trajectory: I have built 10 massive projects from the very start to the absolute end. I began with 21 modalities, and I have now successfully scaled up to 136 modalities. The definitive truth is that my systems scale, and they reason.
A Sovereign Causal Decision Engine utilizing a 136-modality AGI core and a 6-stage Sovereign Loop pipeline for autonomous multimodal sensory integration.
An enterprise-grade cognitive architecture prioritizing Executive Function Prosthetics. Engineered for high-throughput, multi-stream biometric ingestion, scaling autonomously beyond the constraints of traditional foundational models.
The true gauntlet. An uncompromising benchmark designed to test the absolute limits of generalized reasoning capabilities against models like Google Gemini.
A Continuous Neuro-Symbolic Logic Framework laying the groundwork for verifiable artificial general intelligence and temporal spite engines.
Providing a short description of this Python library right now:
A neuro-symbolic evaluation suite and lifecycle manager for AI agents and AGI development.
If you want to read more about it, see the full library, or install it, visit the official Python Package Index page for this library.
Live deployments, documentation, and the actual code.
"We don't build systems to simulate intelligence; we engineer architectures to transcend it."