About Me · Hyperdimensional Computing

Hi, I’m David — a passionate explorer of Hyperdimensional Computing (HDC) and its potential to reshape the way we process and understand information. My work revolves around the intersection of HDC, Graphs, agentic intelligence, and cognitive computing.

I spend most of my time thinking about how to model data, often as hypervectors, so that agents can learn, evolve, and collaborate autonomously, leveraging principles from neuromorphic computing, hyperdimensional vector reasoning, and AI-driven adaptability. My goal is to bridge the gap between theory and real-world applications, developing systems that don’t just compute—but think, adapt, and optimize themselves.

me
  • Independent Problem Solver in Complex Domains

    Innovation Explorer

    1990 - current

  • Enterprise Knowledge

    Pricinpal Solutions Architect - AI & Graph

    2024 - current

Open CV
  • Multi-Modal Graph RAG with HDC

    Multi-Modal Graph RAG with HDC

    A multi-modal graph RAG system that uses HDC to reason about the data and enable natural language queries.

    • Explore the art of the possible with a multi-modal graph RAG system that uses HDC to reason about the data and enable natural language queries.
    • Implement HDC projections that maintain the semantic meaning of the data.
    • Incorporate BAML agents to enable the system to reason about the data and enable natural language queries.