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aylaib/README.md

πŸ‘‹ Hi, I'm Ayoub LAIB

LinkedIn Email Location

🧬 About Me

I'm a Master's student in Bioinformatics passionate about AI applied to healthcare. Currently focused on developing medical diagnostic systems with proven results - I've improved diagnostic performance from 78% to 96% AUC through machine learning innovations.

πŸ”¬ Research Focus: AI-assisted medical diagnosis
🎯 Goal: Contributing to international research in healthcare AI
🌟 Achievement: Developed a multimodal AI system for liver cancer prediction

πŸ› οΈ Tech Stack

πŸ€– AI/ML & Data Science

Python R TensorFlow Scikit-learn OpenCV

πŸ’» Development

JavaScript Django HTML5 CSS3

πŸ—„οΈ Databases & Tools

PostgreSQL SQL Git Jupyter VS Code

πŸš€ Featured Projects

  • Impact: Improved diagnostic accuracy from 78% to 96% AUC
  • Tech: Random Forest, XGBoost, Medical Imaging Processing
  • Data: 64 TCGA patients, clinical data + medical imaging fusion
  • Features: Liver segmentation, image registration, ML optimization
  • Tech: Convolutional Neural Networks, Transfer Learning
  • Tools: OpenCV, Data Augmentation techniques
  • Application: Real-time facial detection system
  • Dataset: Pima Diabetes dataset
  • Scope: Implementation and comparison of 7 ML algorithms
  • Focus: Performance evaluation and algorithmic analysis

πŸŽ“ Education

πŸŽ“ Master's in Bioinformatics | USTHB University
September 2023 - June 2025

πŸŽ“ Bachelor's in Information Systems and Software Engineering | USTHB University
September 2019 - June 2023

πŸ’Ό Experience

πŸ’» Developer Intern | NAFTAL | February - June 2023

  • Developed a prototype web application for fuel and lubricant sales
  • Full-stack development using Django, Python, SQL
  • Database integration and system optimization

🌍 Languages

πŸ‡©πŸ‡Ώ Arabic: Native
πŸ‡«πŸ‡· French: B2
πŸ‡ΊπŸ‡Έ English: Intermediate

πŸ“ˆ GitHub Stats

Ayoub's GitHub stats

Top Languages

🎯 Current Focus

  • πŸ”¬ Advancing AI applications in medical diagnostics
  • 🧬 Exploring bioinformatics research opportunities
  • 🌐 Seeking international collaboration in healthcare AI
  • πŸ“š Continuing education in machine learning and data science

πŸ“« Let's Connect!

I'm always open to discussing:

  • AI in Healthcare projects
  • Bioinformatics research collaborations
  • Machine Learning innovations
  • Open Source contributions

Feel free to reach out if you're interested in collaborating or just want to chat about AI and healthcare! πŸš€


⭐ Fun Fact: I believe that the intersection of AI and biology holds the key to revolutionary healthcare breakthroughs!

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    Online sales website for aviation and marine fuel and lubricant products

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    Graph algorithms implementation and complexity analysis.

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    DNA sequence analysis toolkit with GUI and CLI.

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    Implementation and comparison of multiple sequence alignment algorithms (Progressive vs. Genetic Algorithm SAGA) in Python

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  6. Data-Clustering-Toolkit Data-Clustering-Toolkit Public

    Python/Tkinter application for data exploration and clustering algorithms comparison (K-Means, K-Medoids, AGNES, DIANA, DBSCAN).

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