Skip to content
View Abdo-CODE's full-sized avatar
2 followers · 0 following

Block or report Abdo-CODE

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Abdo-CODE/README.md

👋 Hi, I'm Abdelrahman Mohamed — The Geeky Doctor

Physician • AI Engineer • Oncology Researcher Bringing medicine, data science, and artificial intelligence together.

🧠 About Me

I'm a medical graduate from Alexandria, Egypt 🇪🇬 working at the intersection of medicine, artificial intelligence, and data science.

I believe the future of healthcare will be built by people who understand both medicine and technology — and that's exactly what I'm working toward.

Currently I am:

  • 🧑‍💻 AI Engineering trainee building real-world AI systems
  • 🔬 Oncology researcher collaborating with physicians at SUN Cancer Center (Alexandria)
  • 🚀 Clinician Engineer at Onion AI (UK)
  • 📚 Teaching machine learning & data science to physicians

My work focuses mainly on:

  • Oncology
  • Radiology
  • Medical AI
  • Clinical data science
  • Machine learning systems

🚀 Current Focus

Right now I am focused on building AI systems for medicine.

Some of the things I'm working on:

  • 🧠 Medical RAG systems for clinical knowledge retrieval
  • 📊 Clinical data analysis pipelines
  • 🧬 AI applications in oncology research
  • ⚙️ Backend systems for AI applications (FastAPI + databases)
  • 🧪 Experimenting with LLM tools for medical education

I recently built my first Retrieval-Augmented Generation (RAG) system for medical textbooks.

More projects coming soon.

📚 Research

I have 20+ scientific publications spanning:

  • Oncology
  • Radiology
  • Artificial Intelligence in medicine
  • Clinical data analysis

I enjoy turning clinical questions into data-driven research problems.

🧑‍🏫 Teaching

I also teach machine learning and data science for physicians.

Over the years I have:

  • Mentored hundreds of physicians
  • Helped students transition into AI and data science careers
  • Taught doctors preparing for research positions and graduate programs

My goal is to help more clinicians become builders, not just users of AI.

🛠️ Tech Stack

Languages

  • Python
  • R (learning)

Data Science & ML

  • Pandas
  • NumPy
  • Scikit-learn
  • PyTorch
  • TensorFlow

Data & Backend

  • PostgreSQL
  • FastAPI
  • REST APIs

Tools I Use

  • Git / GitHub
  • Jupyter
  • Linux
  • Docker (learning)

🧩 Philosophy

I may not be the best engineer in the room, but I aim to be the doctor who understands engineering well enough to build impactful systems for medicine.

My mission is simple:

Build technology that helps doctors make better decisions.

🎲 Fun Fact

I write poetry as often as I write code.

Both are ways of making sense of the world.

🌐 Connect With Me

⭐ Follow my journey as I build AI for medicine

Popular repositories Loading

  1. RAGOncologyBooks RAGOncologyBooks Public

    A local Retrieval-Augmented Generation (RAG) application for studying PDF materials. It allows users to ingest PDFs into a Qdrant vector store, ask questions, and generate Anki flashcard decks from…

    Python 1

  2. Long-Covid Long-Covid Public

    Phenotyping long covid patients using personally-reported symptoms hoping to define subtypes of long covid associated with myaligic encephalitis

    Jupyter Notebook

  3. Smile-Detector Smile-Detector Public

    Using a simple CNN and face recognition model to calculate percentage of crowd smiling

    Jupyter Notebook

  4. Full-Data-Science-Project-Workshop- Full-Data-Science-Project-Workshop- Public

    This is a workshop I taught to CS student filled with plenty of useful notebooks and walked them through a project end to end

    Jupyter Notebook

  5. Faster-Face-Detection-using-Clustering-and-Pretrained-VGG Faster-Face-Detection-using-Clustering-and-Pretrained-VGG Public

    I used to clustering and VGG to make searching through face embeddings faster for an application taking automatic attendance of employees

    Jupyter Notebook

  6. Xray-Diagnosis-Project Xray-Diagnosis-Project Public

    Simple CNN diagnosing variety of diseases via Xray

    Jupyter Notebook