AI Engineer (Generative AI) & Electrical Engineering Student.
Focused on building LLM-powered applications, RAG systems, and AI agents using modern AI infrastructure.
- 🤖 Focused on: Generative AI, LLM Applications, AI Agents
- 🧠 Building RAG systems, AI assistants, and LLM-powered APIs
- ⚙️ Backend development for AI systems using FastAPI
- 🛠️ Interested in turning AI ideas into real-world products
📬 Contact
- 💼 LinkedIn: Khaled Mohsen
- ✉️ Email: khaledmohs3n@gmail.com
- 🐦 X: @Khaledmohsenn1
Languages: Python, SQL, Bash
AI / ML: LLMs, Prompt Engineering, RAG, NLP
Frameworks: OpenAI API, LangChain
Backend: FastAPI, REST APIs
Data: Pandas, NumPy
Infrastructure: Docker, Git, GitHub, Linux (WSL)
Tools: VS Code, Jupyter Notebook
I focus on building real AI systems, not just experiments.
- AI Assistants
- RAG Applications
- Document QA Systems
- LLM APIs
- AI Chatbots
- AI Agent Systems
An AI assistant that answers medical questions using Retrieval-Augmented Generation.
Features:
- Document ingestion
- Vector search
- LLM-powered responses
- FastAPI backend
- Streamlit interface
Tech Stack:
Python • FastAPI • OpenAI • RAG • Vector Database
Replace this section with your actual project repository links.
- LLMOps
- AI Agents
- Multi-Agent Systems
- Advanced RAG Architectures
- Production AI Systems
- 💼 LinkedIn: https://www.linkedin.com/in/khaled-mohsen-2984902b4/
- ✉️ Email: khaledmohs3n@gmail.com
💡 Building AI systems that turn language models into real products.