Engineer building agentic AI systems, distributed cognitive architectures, and the runtime tooling that keeps multi-agent systems coherent over time. Headed for PhD research in AI alignment, AI safety, long-horizon memory, and distributed systems.
ProjectNexus -- distributed cognitive architecture A multi-node AI system that maps biological cognition (peripheral sensing, brainstem filtering, hippocampal memory, cortical reasoning, consolidation) onto heterogeneous hardware: Jetson edge devices, a 4070 "brainstem" node, NAS-backed long-term memory, and a 4090 "cortex". Marketing site at projectnexuscode.org.
Project Vector -- autonomous multi-agent robotics Multi-agent autonomous vehicles: course following, obstacle detection, intersection negotiation, vehicle-to-vehicle communication, and shared mapping. Provisional patent covering the zone-association engine, spatial intelligence layer, and autonomous navigation approach. Development repo is private.
agile-cards + agile-cards-board -- agentic delivery system A tiered card system for running a portfolio of projects with a fleet of AI agents. Dual-axis model routing, parallel-claimable cards, machine-checkable acceptance criteria. Board is the React + TypeScript dashboard, served behind Cloudflare Access.
project-quantum-nexus -- quantum methods for distributed power systems Near-term quantum algorithms (VQE, QAOA, quantum kernels) applied to power-system state estimation, anomaly detection, and energy scheduling. Qiskit, IBM open-access backends.
Nexus-Automation-Node Self-hosted n8n stack, Docker-packaged, that runs the workflow and integration layer for Project Nexus.
- Professional .NET / C# / Blazor development across multiple companies and an independent practice (Paradigm Coding Solutions, LLC).
- Current stack is Python-first with C# / .NET as a secondary lane.
- Education: B.S. Computer Science (in progress); preparing for PhD research in AI alignment, distributed cognition, and autonomous systems.
- Languages: Python, C# / .NET, TypeScript, Java
- AI / ML: PyTorch, CUDA, TensorRT-LLM, ONNX, Qiskit, vector stores, LLM orchestration
- Robotics & edge: Jetson, ESP32 / Arduino, ROS2, PID control, sensor fusion
- Infrastructure: Docker, Linux, Cloudflare Tunnels, NAS, distributed compute
- Web: Blazor, .NET, REST, React + TypeScript, Tailwind
Agentic AI safety, alignment, long-horizon memory and synthetic continuity for LLMs, biologically-inspired distributed cognition, multi-agent coordination, edge inference, and the alignment problems that emerge once a model has persistent state.
- LinkedIn: andrew-mattick
- Hugging Face: @ginkobaloba
- Email: dramattick1 [at] gmail.com
Open to collaboration on distributed AI systems, autonomous robotics, agentic tooling, and applied alignment work.