Open to opportunities

Abdullah AbdulQadir

@abdullahabdulqadir

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Medical software engineer building clinical AI tools and full‑stack healthcare applications.

Egypt

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What I'm looking for

I seek roles building clinical AI and healthcare software—hands‑on ML/CV work, production deployments, collaborative teams, and opportunities to impact patient care.

I am a medical software engineer blending systems & biomedical training with hands‑on AI and full‑stack development experience.

I have contributed to clinical AI research and real‑world products, including antimicrobial peptide prediction research and a personal‑brand SaaS template using Next.js.

My graduation project created an automated framework for medical image segmentation using nnU-Net, SAM series, MONAI, ORTHANC and OHIF, and I have built multiple segmentation pipelines for spine, lung cancer (CT/PET) and prostate MRI.

I collaborate well in teams, deliver production web and desktop tools, and focus on reproducible, clinically useful AI solutions that streamline radiology and healthcare workflows.

Experience

Work history, roles, and key accomplishments

Current

Undergraduate Research Project

Current

Cairo University

Jan 2020 - Present (5 years 9 months)

Developed an automated AI framework enabling radiologists to build medical image segmentation models without AI expertise by integrating nnU-Net, SAM-series for annotation, MONAI for model development, and OHIF/Orthanc for visualization and PACS.

SAM MONAI Medical Imaging Python OHIF Segmentation

Medical Software Engineer

Lytic Lab

Jun 2024 - Aug 2024 (2 months)

Served as a full-stack engineer developing a personal-brand SaaS template and contributed to the TAM Integrated Solutions website using Next.js during a summer internship, delivering production-ready frontend and backend components.

Next.js React TypeScript HTML CSS Git Full Stack Developer Web Development

ML Research Intern

Vellore Institute of Technology

Jun 2023 - Aug 2023 (2 months)

Contributed to research on antimicrobial peptide prediction using deep learning and machine learning, co-authoring work toward a research paper and implementing classification models.

Deep Learning Machine Learning Python Classification data preprocessing Model Evaluation

Education

Degrees, certifications, and relevant coursework

Cairo University Faculty of Engineering

Bachelor of Science, Systems and Biomedical Engineering

2020 -

Grade: 3.6

Activities and societies: Bachelor's graduation project (CUBE.AI) and multiple medical imaging and AI projects; Machine Learning Instructor at IEEE (2022).

Pursuing a Bachelor of Science in Systems and Biomedical Engineering with a current cumulative GPA of 3.6, expected completion in 2025.