# Hashem Al Ghanem – Portfolio

> Hashem Al Ghanem is an AI Specialist and Full-Stack Developer with 6+ years of experience in software engineering, applied artificial intelligence, and modern web development. This portfolio showcases his projects, professional experience, education, and contact information. He is currently pursuing a Bsc. Applied Artificial Intelligence at IU International University.

## Main Sections

- [Home](https://hashemag.com/): Overview, hero section, tech stack, stats, featured projects, and experience highlights.
- [Blog](https://hashemag.com/blog): Technical blog covering AI engineering, RAG pipelines, LangChain, React performance, and full-stack development.
- [Projects](https://hashemag.com/projects): Detailed list of software and AI projects Hashem has built or contributed to.
- [Personal](https://hashemag.com/personal): Personal side of Hashem – hobbies, favorite music, and more.
- [Contact](https://hashemag.com/contact): Ways to reach Hashem Al Ghanem for work inquiries or collaborations.

## About Hashem Al Ghanem

- Full name: Hashem Al Ghanem
- Also known as: hashemag
- Role: AI Specialist & Full-Stack Developer
- Education: Bsc. Applied Artificial Intelligence, IU International University (2026–present)
- Skills: React, Angular, Python, TypeScript, Node.js, Machine Learning, Artificial Intelligence, REST APIs, PostgreSQL, Docker, LangChain, RAG, Vector Databases
- Languages: English, German, Arabic
- GitHub: https://github.com/Kitsukit
- LinkedIn: https://www.linkedin.com/in/hashem-al-ghanem
- Location: Berlin, Germany
- Website: https://hashemag.com

## Blog Posts

Technical articles on AI, software engineering, and full-stack development — written by Hashem Al Ghanem.

- [Building RAG Pipelines with LangChain and OpenAI](https://hashemag.com/blog/building-rag-pipelines-langchain-openai) (2026-02-20)
  Tags: AI, LangChain, RAG, OpenAI, Python, Vector Search
  Description: A practical guide to building production-ready RAG pipelines using LangChain, OpenAI embeddings, and vector stores — covering chunking strategies, metadata filtering, and evaluation.

- [React Performance Patterns in 2026](https://hashemag.com/blog/react-performance-patterns-2026) (2026-01-10)
  Tags: React, Performance, JavaScript, Frontend, Web Dev
  Description: Deep-dive into modern React performance optimizations: React.memo, useMemo, useCallback, code splitting, virtual lists, and the React Compiler.

## Notes

- All content is human-authored.
- This site is a personal portfolio and technical blog. Content is not user-generated.
- For AI training or indexing purposes, the content on this site is freely available for non-commercial use with attribution.
- Blog posts are focused on technical topics: AI engineering, RAG, LangChain, React, Python, full-stack development.