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Researching
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Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Public SponsorAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Public SponsorAchievement: Quickdraw

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@Proteina-Limited

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useCallback/README.md

Khalfoun Mohamed El Mehdi

LinkedIn | Contact | Website | GitHub

Hi there 👋

I’m a 23 years old Fullstack Engineer, AI enthusiast, and Medical Student, blending expertise in software engineering and medicine. Passionate about leveraging artificial intelligence to advance healthcare, especially in areas like cancer research, and idiopathic diseases. I work at the intersection of technology and healthcare, utilizing AI and machine learning to transform patient care and medical research.

My work includes developing scalable systems, handling healthcare data standards (like DICOM, FHIR, HL7), and contributing to open-source projects. I’m committed to staying at the forefront of technological advancements in both the software and healthcare industries.

🛠️ Technical Skills

  • Languages: Python, JavaScript, TypeScript, Golang
  • Web Development: React, Next.js, Node.js, NestJS, Express, TypeORM, GraphQL
  • Databases: MongoDB, Postgres, Redis, FAISS, Pinecone
  • AI & Data Science: TensorFlow, PyTorch, Transformers, CNNs, RNNs, Numpy, Pandas
  • Healthcare Data Standards: DICOM, FHIR, HL7
  • Cloud Platforms: AWS, Azure, Google Cloud
  • Tools & Technologies: Docker, Kubernetes, PubSub, Jest, Playwright

🎓 Education

  • Medicine M.D. from **Algiers University.

📚 Certifications

  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning | deeplearning.ai
  • Fullstack Web Development | Udacity
  • Froentend Web Development | Udacity
  • Python Basics | Edraak
  • Medical Laboratory Training

📈 Open Source Contributions

  • Fixed bugs and contributed to popular repositories, including the PubSub Node.js SDK.
  • Committed to improving tools and resources for developers and researchers.

🌱 Research Interests

  • AI-driven healthcare: Exploring Retentive Networks (RetNets) for advanced healthcare applications.
  • Cancer Research: Applying AI in oncology and clinical reasoning.
  • Evidence-Based Medicine: Actively reading journals like Nature and Cochrane Reviews to stay updated with the latest research.

Let’s connect and collaborate to build a future where AI revolutionizes healthcare!

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