Resume

Professional Summary

AI Systems Architect specializing in semantic memory structures, agentic orchestration, reversible data formats, and multi-agent workflow design. I build systems that give AI agents structured context, continuity, and interoperability across tools and domains.

Core Skills

• Semantic memory & structured data protocols
• Multi-agent system design
• Agentic orchestration & workflow control
• Protocol engineering & AI packet formats
• Large-scale data transformation & compression
• Cloud architectures (GCP)

Selected Work

• Cube Protocol — A reversible 3D memory packet format.
• Agentic Orchestration Layer — Supervised multi-agent workflows.
• AI Packet Bridge — Token-efficient structured AI-to-AI communication.

Roles & Responsibilities

• Architecting semantic data pipelines & AI control layers
• Designing multi-agent execution flows & protocols
• Building reproducible AI workflows with reversible state
• Creating interoperable data formats for cross-model execution
• Optimizing data for semantic compression & reconstruction

Technical Focus

• LLM systems
• Agent-to-agent communication
• Multi-domain data pipelines
• Model-tool interoperability
• Protocol-driven AI design