$ whoami
└─ Researcher & Teacher & Engineer | Building secure infrastructure for the Agentic Web

I work at the intersection of AI infrastructure, software design, and security architecture — focusing on how AI agents interact safely with organizational data through structured protocols like the Model Context Protocol (MCP).

Author of Simplified and Secure AI Security Gateways for Enterprise AI Integration A peer-reviewed paper exploring Zero-Trust architectures for MCP endpoints and secure AI data gateways.

This work proposes practical models for:

• Context-aware access control for AI agents
• Zero-Trust MCP infrastructure
• AI gateway observability and threat intelligence integration
• Secure enterprise adoption of the Agentic Web

• Model Context Protocol (MCP) — Designing structured, discoverable AI interfaces
• Agentic Web Architecture — Building systems AI agents can understand and safely act upon
• Secure AI Gateways — Reverse proxies and access layers built for context-aware AI
• Automated Infrastructure — Orchestrating cloud-native MCP stacks with Terraform and Komodo
• Context-Aware Security — Integrating identity, behavior, and intent into access decisions

🔹 Implementing MCP-compliant AI interfaces for enterprise data systems 🔹 Designing Zero-Trust AI security layers with Pangolin-style reverse proxies 🔹 Automating Agentic Web deployments with Manidae.cloud-like orchestration 🔹 Researching agent observability and AI network telemetry 🔹 Contributing to open tooling for MCP standard adoption

I collaborate on open-source protocols and architectures that make AI systems safer and more predictable. If you’re building something around MCP, AI infrastructure, or Agentic Web security, reach out — I’d love to chat.