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qusayaqeel/README.md

πŸ‘‹ Hi, I'm Qusay Aqeel

πŸŽ“ Computer Science & Artificial Intelligence Student – Faculty of Computers & Artificial Intelligence (Cairo University)
πŸ€– AI Engineer in Progress | System Builder | Research-Oriented
πŸ“Š Focused on Applied AI, Deep Learning, and Real-World Intelligent Systems


🧠 About Me

  • πŸ€– Strong interest in Artificial Intelligence & Deep Learning
  • 🧠 Solid foundation in Problem Solving, Algorithms, and Logical Thinking
  • πŸ“Š Experience in Data Analysis, Data Processing, and Visualization
  • πŸ› οΈ Building end-to-end AI systems (data β†’ model β†’ deployment β†’ monitoring)
  • 🧬 Exploring Deep Learning domains such as Computer Vision & NLP
  • πŸ” Interested in AI ethics, awareness, and real-world impact
  • πŸš€ Long-term goal: contribute to AI research, education, and scalable AI systems

πŸ› οΈ Tech Stack

πŸ’» Programming Languages

Python
C++


πŸ“Š Data Analysis & Visualization

Pandas
NumPy
Matplotlib
Seaborn


πŸ€– Machine Learning

Scikit-learn

  • Supervised & Unsupervised Learning
  • Feature Engineering & Model Evaluation
  • Handling imbalanced data, bias, and overfitting

🧠 Deep Learning

TensorFlow
Keras
PyTorch

Domains:

  • πŸ–ΌοΈ Computer Vision (CNNs, image classification, object detection – learning & practice)
  • πŸ—£οΈ Natural Language Processing (NLP) (text preprocessing, embeddings, transformers – learning & practice)

βš™οΈ MLOps & Deployment (Learning)

Streamlit
FastAPI

  • Model deployment & inference APIs
  • Monitoring concepts: data drift, model drift, skewed data

🧰 Tools & Workflow

Git
GitHub
Linux


πŸ“Œ What I'm Currently Working On

  • πŸ”Ή Deep Learning projects in Computer Vision & NLP
  • πŸ”Ή End-to-end AI systems with deployment
  • πŸ”Ή Real-world data analysis & insight extraction
  • πŸ”Ή Understanding ML/DL models beyond APIs
  • πŸ”Ή Building a research- and industry-ready AI portfolio

πŸ“Š GitHub Stats

GitHub Stats Top Languages


πŸ“¬ Connect With Me


β€œBuilding intelligent systems that are technically sound, ethically aware, and impactful in the real world.”

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