Current Research Initiatives
Self-Organising Graph
Developing dynamic spatial graph databases combining Euclidean geometry and cosine similarity for adaptive AI memory across 2D and 3D architectures.
Object Recognition
Researching advanced visual processing pipelines and structural object recognition paradigms.
Graph RAG AI
Enhancing retrieval-augmented generation using structured graph topologies instead of flat vector indexes.
SLM (Small Language Models)
Optimizing compact, specialized language models engineered for high-efficiency edge execution.
AI Agents & Data Engines
Building autonomous agent architectures capable of complex multi-step reasoning, alongside robust data processing pipelines for regression and classification engines.
Evolving Chatbots
Designing conversational systems driven by real-time reinforcement learning and adaptive state pathways.