Ahnaf An Nafee

PhD Student in AI & 3D Graphics @ GMU | DCXR Lab | Ex-CTO

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🚀 About Me

I operate at the intersection of Artificial Intelligence, 3D Computer Graphics, and Cloud Infrastructure. As a PhD Student at George Mason University's DCXR (Design Computing and eXtended Reality) Lab (advised by Dr. Craig Yu), I research intuitive ways to create and interact with immersive digital worlds.

Previously, I was the CTO of a tech startup, where I learned that cutting-edge AI needs robust, scalable infrastructure to make a real-world impact. I build systems that work, not just papers that publish.

🔬 Research Focus

• AI for Graphics: Generative AI workflows, automated 3D modeling, UV mapping, and NPR rendering.
• Immersive Tech: Human-Computer Interaction (HCI) in VR/AR environments.
• Infrastructure: Scalable cloud deployment for high-performance graphics applications.

🛠️ Core Expertise

• Languages: Python, C++, Go, TypeScript
• Graphics & Game Dev: Unity, Unreal Engine, OpenGL, GLSL
• AI/ML: PyTorch, TensorFlow, Computer Vision
• DevOps: Kubernetes, AWS, OpenShift, CI/CD

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🌟 Featured Projects

Explore my full portfolio at ahnafnafee.dev/portfolio.

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⚡ Technology Stack

This portfolio is a high-performance, SEO-optimized web application built with the latest modern stack.

Core Framework

UI & UX

• Framer Motion: Complex animations and gesture handling.
• Lucide React: Clean, consistent iconography.
• React Hot Toast: Accessible notifications.

Performance & SEO

• Vercel Analytics & Speed Insights: Real-time user metrics.
• Next SEO: Advanced SEO management (Downgraded to v6.6.0 for compatability).
• PWA Support: Offline capabilities and installability.

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💻 Development

Prerequisites

• Node.js >= 22.0.0
• Yarn >= 1.22.0

Quick Start

1. Clone & Install

   git clone https://github.com/ahnafnafee/ahnafnafee.dev.git
   cd ahnafnafee.dev
   yarn install

2. Configure Environment Create .env.development.local:

   NEXT_PUBLIC_TWITTER_USERNAME=@ahnaf_nafee
   NEXT_PUBLIC_SITE_NAME="Ahnaf An Nafee"
   NEXT_PUBLIC_SITE_URL="http://localhost:3000"

3. Run Locally

   yarn dev

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🔍 Google Indexing

This project includes a script to batch index pages using the Google Indexing API. It automatically checks if a URL is already indexed using the Search Console API before submitting, to respect quota.

Setup

1. Service Account: Place your service_account.json in indexing/service_account.json.
2. Permissions:
   • Enable Indexing API and Google Search Console API in Google Cloud.
   • Add the Service Account email as an Owner in Google Search Console.

Run Indexing

Trigger the script manually:

npx tsx indexing/sendIndexingRequest.ts

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🚀 Deployment

Optimized for Vercel with zero-config deployment.

yarn build

Also supports static export for AWS S3, GitHub Pages, or Netlify:

yarn export

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Built with ❤️ by Ahnaf An Nafee

🌐 Visit Website • 🐛 Report Bug