I’m a Software Engineer specializing in Python, Backend Engineering, Cloud Deployment, and Machine Learning.
I enjoy building real products — from SaaS features and APIs to computer-vision systems, automation tools, and AI-powered applications.

Currently, I work at Trufla Technology (Canada-based SaaS company), where I contribute to backend development, API logic, debugging production systems, and supporting cloud deployments using AWS, Docker, and Linux.

Alongside my professional work, I’m actively developing my expertise in ML & AI, focusing on hands-on projects involving NLP, transformers, AI agents, and computer vision.

• Python, Django
• Node.js, Express
• JavaScript, React
• PHP
• REST APIs
• MySQL, MongoDB

• Python ML Stack (NumPy, Pandas, Scikit-Learn)
• NLP & Transformers (BERT, XLNet, GPT-style models)
• Hugging Face ecosystem
• LangChain & AI agents
• Vector embeddings & vector databases
• OpenCV & Image Processing

• Docker
• Linux
• AWS (EC2, S3)
• Git, GitHub / GitLab CI/CD

• Automation scripting
• Embedded systems (ARM Cortex-M, AVR)
• Flutter (Dart)
• Robotics and Computer Vision projects

This repository contains a collection of hands-on AI projects I built while completing the AI Engineer Bootcamp 2025 on Udemy.

The projects cover the full AI engineering workflow:

• Python programming for AI
• Natural Language Processing (NLP)
• Large Language Models (BERT, GPT, XLNet)
• LangChain & AI agents
• Vector databases (Pinecone)
• Speech recognition and Streamlit applications

These projects demonstrate real-world AI applications, from chatbots to AI-driven search and reasoning systems.

👉 Repository: https://github.com/youssef456/AI_Engineering

A comprehensive repository focused on Data Science, Machine Learning, and AI Engineering fundamentals, implemented using Python and modern AI tooling.

This repository demonstrates my hands-on work across the full data-to-AI pipeline:

• Data analysis and preprocessing
• Machine Learning fundamentals
• Natural Language Processing (NLP)
• Large Language Models & Transformers
• Vector embeddings and semantic search
• Speech recognition systems

The projects emphasize practical implementation, clean code, and real-world AI use cases, forming a strong foundation for building production-ready AI systems.

👉 Repository: https://github.com/youssef456/Data_Science

Object detection + automation using Python & OpenCV.
Real-time tracking integrated with embedded hardware.

End-to-end system with data pipelines, decision logic, and live cloud deployment.

Flutter + Node.js + MongoDB + MySQL + TypeScript.

Motion detection and automation using Python and microcontrollers.

Multiple 2D & 3D games built with Unity (C#), published on the Play Store.

👉 More ML & AI-focused projects coming soon.

• AI Engineer Course – Complete AI Engineer Bootcamp (Udemy)
• Machine Learning & Data Science Bootcamp
• Advanced Embedded Linux – University of Colorado
• Arm Cortex-M Architecture – Coursera
• Database Fundamentals – ITI
• JavaScript, HTML, CSS – Duke University

• Building real-world ML & AI applications
• Deepening knowledge of LLMs, agents, and RAG systems
• Strengthening Python backend & system design skills
• Preparing for software engineering roles in Germany
• Expanding cloud deployment experience (Docker + AWS)

• LinkedIn: https://www.linkedin.com/in/youssefasaad
• Email: yousefnagy2@gmail.com

Thanks for visiting!
Feel free to explore my repositories or reach out 🤝