Current Research Initiatives
Self-Organising Graph (SOG)
Developing dynamic spatial graph databases combining Euclidean geometry and cosine similarity for adaptive AI memory across 2D and 3D network architectures.
Graph RAG AI
Enhancing retrieval-augmented generation using structured graph topologies instead of flat vector indexes to eliminate context hallucination in enterprise setups.
Small Language Models (SLMs)
Optimizing compact, specialized language models engineered for high-efficiency local execution, ensuring absolute enterprise privacy and zero cloud token leakage.
Secure AI & Data Engines
Building hardened multi-agent architectures capable of multi-step reasoning, backed by defensive validation checks against prompt injection and data poisoning.
Computer Vision & Object Recognition
Researching advanced visual processing pipelines and structural recognition paradigms to map complex visual parameters into machine-readable vector states.
Adaptive State Chatbots
Designing conversational systems driven by real-time state tracking and reinforcement feedback mechanisms for highly contextual dialogue systems.