https://github.com/tony-42069/x-portfolio
A showcase of cutting-edge AI/ML engineering and full-stack development work. This portfolio demonstrates expertise in advanced machine learning, including successful fine-tuning and deployment of large language models, alongside modern web development capabilities.
https://github.com/tony-42069/x-portfolio
Last synced: about 2 months ago
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A showcase of cutting-edge AI/ML engineering and full-stack development work. This portfolio demonstrates expertise in advanced machine learning, including successful fine-tuning and deployment of large language models, alongside modern web development capabilities.
- Host: GitHub
- URL: https://github.com/tony-42069/x-portfolio
- Owner: tony-42069
- Created: 2024-11-03T19:51:39.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-12-14T20:43:49.000Z (5 months ago)
- Last Synced: 2025-02-12T14:33:56.147Z (3 months ago)
- Language: TypeScript
- Homepage: https://x-portfolio-zeta.vercel.app
- Size: 1.08 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AI/ML Engineer Portfolio
## 🚀 Overview
A showcase of cutting-edge AI/ML engineering and full-stack development work. This portfolio demonstrates expertise in advanced machine learning, including successful fine-tuning and deployment of large language models, alongside modern web development capabilities.
### 🎯 Core Competencies
- **Advanced Machine Learning**: Successfully fine-tuned and deployed 34B parameter LLMs
- **Deep Learning**: Mastery of model architecture, training, and optimization
- **MLOps**: Experience with Azure ML infrastructure and A100 GPU computing
- **Full-Stack Development**: Modern web applications with Next.js and React
### ✨ Technical Achievements
- **LLM Fine-tuning**: Successfully fine-tuned Yi-34B model with 4-bit quantization
- **Training Optimization**: Achieved significant loss reduction from 4.19 to 1.69
- **Advanced Techniques**: Implemented LoRA training and complex GPU memory management
- **Web Development**: Built high-performance, responsive applications
## 🛠 Tech Stack
### Machine Learning & AI
- **Models**: Large Language Models (34B parameters)
- **Infrastructure**: Azure ML, A100 GPUs
- **Techniques**: LoRA, 4-bit Quantization, Hyperparameter Optimization
### Web Development
- **Framework**: Next.js 15.0.2
- **UI**: Tailwind CSS, Radix UI
- **Animations**: Framer Motion
- **Deployment**: Vercel
## 🚀 Live Demo
Visit the live site: [AI/ML Engineer Portfolio](https://x-portfolio-phi.vercel.app/)
## 📂 Project Structure
```
src/
├── app/
│ ├── globals.css
│ ├── layout.tsx
│ └── page.tsx
├── components/
│ ├── sections/
│ │ ├── hero.tsx
│ │ ├── portfolio.tsx
│ │ ├── evidence.tsx
│ │ ├── vision.tsx
│ │ └── background.tsx
│ └── ui/
└── lib/
└── utils.ts
```
## 🏃♂️ Running Locally
1. Clone the repository:
```bash
git clone https://github.com/tony-42069/x-portfolio.git
```
2. Install dependencies:
```bash
cd x-portfolio
npm install --legacy-peer-deps
```
3. Start the development server:
```bash
npm run dev
```
4. Open [http://localhost:3000](http://localhost:3000) in your browser
## 📱 Deployment
This project is deployed on Vercel with continuous deployment enabled. Any push to the main branch will trigger a new deployment automatically.
## 📄 License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
---
Built by Dorian Sadellari | AI/ML Engineer & Full Stack Developer