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ValyouValyou.
Project Archive // 2025

Neural 
Brand 
Matrix 

ServiceExecutive Portfolio & Personal Brand
PartnerAaron Browne-Moore (my own portfolio)
StatusLive
Cycle8-12 WKS
Project Overview // Phase 01

My own dual-mode portfolio, featuring real-time WebGL neural network visualization. If the site claims engineering, the site itself has to prove it.

Master Architect's Note

"The portfolio itself became the proof of concept. When you claim to be a Marketing Engineer, your website better demonstrate engineering. We built a system where the medium IS the message: 120 nodes rendering in real-time, 8 post-processing effects per frame, adaptive quality systems that maintain 60fps on any device."

Live System Diagnostic // Node: 0
Bidding CoreLatency: <2ms // Sync: DeterministicAsset ID: ENGINE-ST-4.0.1 // DNA: 0.1% PRECISION // NODE: 0
Verified Technical Asset // Confidential
01 // THE CHALLENGE

Create a portfolio that instantly differentiates from standard LinkedIn-style sites while appealing to two distinct audiences: business-focused recruiters seeking impact metrics, and technical evaluators assessing engineering depth. The site needed to prove the "Marketing Engineer" positioning through the experience itself.

02 // THE ARCHITECTURE

We engineered a dual-mode architecture with seamless mode switching. Impact Mode showcases business metrics and revenue growth for recruiters. AI Lab Mode reveals the technical stack and automation systems for CTOs. A real-time Three.js neural network visualization renders 120+ nodes in a marketing funnel formation with flying 3D objects, post-processing effects, and adaptive performance monitoring.

Adaptive Performance SystemTypeScript
// Real-time FPS monitoring with automatic quality adjustment
const useAdaptiveQuality = () => {
  const [quality, setQuality] = useState('high');
  const frameCount = useRef(0);

  useFrame(() => {
    frameCount.current++;
    if (frameCount.current % 60 === 0) {
      const fps = calculateFPS();
      if (fps < 30) setQuality('low');
      else if (fps < 50) setQuality('medium');
      else setQuality('high');
    }
  });

  return quality;
};
Performance Metrics
120+Neural Nodes Rendered
60fpsFrame Rate
<3s GlobalLoad Time
0.1% Execution // The Laboratory
Neural Nodes120+
Data Flow
Post-Processing8 FX
System Heartbeat
Flying Objects3 Orbital
Response Time
Mode SwitchInstant
Funnel Progress
Stack Analysis
Next.js 14Three.jsReact Three FiberWebGLZustandFramer MotionCloudflare Edge

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