About
Strategic Systems Architect & Full-stack Engineer
The Architect
I'm an INTJ (Architect) with a Strategist-first orientation. I treat challenges as systems to be understood — diagnose the physics first, then design around them.
My approach: identify the constraints of the arena, design a system that navigates them, and execute with precision.
Background
15 years experience. BBM (Finance & Corp Comms), SMU 2011.
CFA Level 1, ChFC®/S, CLU®/S, CFP® Modules 1-6, ACTA
Finance → Insurance → Curriculum Development → Systems Architecture
Ghost Brand Ecosystems, Zero-Point Architecture, Anti-Slop Protocol
Philosophy: The Anti-Slop Protocol
I navigate reality as it IS, not as it SHOULD BE. In an era of AI-generated noise ("Slop"), signaling requires friction.
This isn't cynicism — it's operational clarity. Moralism is a luxury; physics is mandatory. The question isn't "Is this fair?" but "What are the actual forces at play, and how do I position myself to survive them?"
"Navigate, don't litigate."
The Bionic Operating Model
I operate as a bionic unit — human cognition augmented by AI at every layer.
Human Intent (Top 1% Nuance) + AI Scale (Bottom 99% Execution) = 1000% Leverage
This follows the Architectural Isomorphism principle: The User provides the Meta-Cognition (How to think), and the AI provides the Execution (What to do).
The AI isn't a replacement; it's a force multiplier. I provide strategic direction and high-nuance judgment. The AI handles research, execution, and documentation at scale.
AI Proficiency
I work with state-of-the-art frontier models daily — not as a casual user, but as a practitioner who understands prompt engineering, agentic workflows, and how to orchestrate AI systems for production-grade output.
Frontier Models (2026)
- Google: Gemini 3 Pro, Flash 3
- xAI: Grok 4.1 (Thinking)
- Anthropic: Claude Opus 4.5 (Thinking)
- OpenAI: GPT-5.2, GPT-5.1-High
AI Capabilities
- Prompt Engineering: System prompts, few-shot, chain-of-thought
- Agentic Development: Multi-step autonomous workflows
- RAG Systems: Vector search, semantic retrieval, knowledge graphs
- AI Image/Video: Midjourney, DALL-E, Runway, Veo 2
Every project I ship is AI-native — from research and design to code and content. This isn't "using ChatGPT"; it's running a bionic production pipeline.
The Stack
Preferred Tools
- Agentic IDE: Google Antigravity, Cursor, Windsurf
- Reasoning: Claude Opus 4.5, Gemini Pro 3, o3
- Backend: Python, Supabase (pgvector), Astro
- Architecture: Flat-file Markdown, Protocol-Driven
Hard Passes
- Black-box RAG: If I can't audit the retrieval, I don't use it.
- Bloated Frameworks: No LangChain/AutoGPT. Primitives only.
- Platform-Locked Memory: My context stays in Markdown.
Current Project: Athena (v8.2-Stable)
Athena is an AI-Powered Digital Personal Assistant operating on the Zero-Point Codex architecture. It enforces the Triple-Lock Protocol (Search → Save → Speak) to ensure every output is grounded in context.
It's not a chatbot. It's a living architecture of protocols, frameworks, case studies, and calibrated insights that compounds over time. Every conversation becomes intellectual capital.
View the public repository →Want to work together?
Internal AI systems. Ops automation. Knowledge engines.
Get in touch →