Private AI.
Real business outcomes.
Agentic AI prototypes & systems
Enterprise multi-agent systems
I built a large multi-agent system inside a Fortune 500 technology company, with agentic workflows adopted globally and a combined token budget of $300,000 per quarter.
Digital SDR teams, prospecting agents, research bots, databases, and agent-to-agent communication.
Frontier-model digital workforce
Hands-on development experience with Claude, OpenAI, and Gemini Enterprise.
One example I can build: a Chief of Staff coordinating specialist roles for research, publishing, technology, legal routing, and tasks, with clear handoffs and human review.
Private AI & security
My private AI server is a hands-on environment for developing agentic workflows.
The Ray-i Security Hardening Agent assesses AI projects, model artifacts, endpoints, dependencies, and host controls, and helps prioritize remediation.
Explore the project on GitHub
Ray-i Network Traffic Observer on GitHub
Ray-i Talks: AI made practical
Real conversations. Useful tools. Follow Ray-i Talks on YouTube and explore the work behind Ray-i Consulting—from private AI architecture to hands-on agentic AI prototypes.
