Resul Kılınç — Applied Machine Learning & Software Engineering Portfolio

Welcome to my professional software engineering portfolio. This repository showcases my technical skills, academic research, and engineering logic through a high-performance, mobile-first static application.

🚀 Key Features

• ReK AI Assistant: A local-first, privacy-focused digital twin engine built with Retrieval-Augmented Logic (RAG).
• Responsive Bento UI: A modern, glassmorphism-inspired interface optimized for all devices.
• PWA Ready: Offline-capable web application with clean storage and caching strategies.
• Academic Integration: Direct access to my machine learning research papers and technical insights.

🛠️ Technology Stack

• Frontend: Vanilla JavaScript (ES6+), Tailwind CSS, Semantic HTML5.
• AI Core: Custom-built RAG engine (ReK AI) for context-aware responses.
• Tools: Cloudflare Pages / Wrangler and custom build scripts for knowledge generation.

📂 Project Structure

• index.html / portfolio.html: Core application entry points.
• css/: Modern design system and custom styling.
• js/res-ai/: The brain of the application (AI Engine & Knowledge).
• assets/: Media and academic documents.

📜 License

© 2026 Resul Kılınç. All Rights Reserved. Commercial use or redistribution without explicit permission is prohibited.