AI Systems Architect & Business / System Analyst. I design autonomous, local-first AI systems focused on decision-making, context, and the limits of artificial intelligence.

My work connects theory (perception, heuristics, ethics) with practical system architecture.

Venom Meta-Intelligence is an experimental system created to answer a simple question:

How should an AI system make decisions when reality is uncertain?

It explores decision processes, memory hygiene, and human-in-the-loop responsibility. Venom serves as an architectural reference for my future autonomous systems.

👉 Venom Repository

My journey into AI architecture started with building physical agents. Venom is the natural evolution of these projects — moving from controlling a robot to understanding how it decides.

• 1. Rider-Pi (The Body)

  • Embedded Python logic for a self-balancing robot.
  • Real-time sensor fusion, motor control, and local execution.

• 2. Rider-Pc (The Brain)

  • FastAPI control server & AI Provider replicating the robot's nervous system.
  • Offloaded heavy ML models (Vision, Voice) to a dedicated unit.

• 3. Venom (The Conscience)

  • An evolutionary layer built on top of Rider-PC.
  • Abstracts decision-making, intent resolution and agent coordination into a standalone, reusable cognitive control system.

Python FastAPI Docker IoT/Robotics System Architecture