⚡ Premium Full Stack Portfolio | Paz Gueta

Welcome to my personal portfolio repository. This project is a highly responsive, performant, and modern web application designed to showcase my engineering background, technical stack, and production-grade case studies.

Built from scratch with a focus on fluid typography, dynamic animations, and pristine layout structure.

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🚀 Key Features

• Premium Vibrant Theme: Includes a seamless, interactive Dark/Light mode toggle that respects user persistence via localStorage.
• Fluid & Scalable Layout: Utilizes advanced modern CSS features (clamp(), fluid grids, dynamic variables) ensuring flawless rendering from mobile screens up to ultra-wide displays.
• Architectural Project Previews: Displays high-fidelity case studies including a Hierarchical Catalog Management System and a Vehicle Management Dashboard.
• Interactive UX Elements: Built-in mobile responsive navigation drawers, dynamic scroll-reveals, smooth counters, and automated copyright year updating.

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🛠️ Tech Stack & Ecosystem

Frontend Engineering

• Core: TypeScript, JavaScript (ES6+), HTML5
• Frameworks & UI: React, Angular, Tailwind CSS, Vite, Redux
• Real-time & Tooling: Socket.IO, Advanced Intersection Observers

Backend & Architecture

• Runtimes & Frameworks: Node.js, Nest.js, Express.js, Fast API (Python)
• API Documentation: Swagger

Databases & DevOps

• Storage Systems: PostgreSQL, MongoDB, MySQL
• Deployment & Environments: Docker, Amazon Web Services (AWS)

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📂 Project Showcase (Included Case Studies)

1. Hierarchical Catalog Management System

   • Supports nested categories, role-based inheritance models, and secure permission-aware filtering.
   • Stack: React, TypeScript, Nest.js, MongoDB, Docker

2. Vehicle Management & Booking System

   • A fully functional vehicle desk platform enabling approval workflows, ride reservations, and real-time tracking via WebSockets.
   • Stack: Angular, Python, Fast API, PostgreSQL, Socket.IO

3. Booking.com Clone

   • High-fidelity replication of dynamic availability search logic and structured database hotel-room relationships.
   • Stack: Node.js, MySQL, TypeScript, Redux

4. ML Apartment Recommender

   • Machine learning-driven engine that aggregates real estate data via web scraping and suggests items based on complex user budgets and preferences.
   • Stack: React, Python, Web Scraping Algorithms

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⚙️ Local Development Setup

To run this portfolio locally on your machine, simply follow these steps:

1. Clone the repository:

   git clone [https://github.com/pazgu/portfolio.git](https://github.com/pazgu/portfolio.git)
   cd portfolio