01 / about

About

I'm a Computer Science student at King Fahd University of Petroleum and Minerals (KFUPM), class of 2027, currently holding a 3.961 / 4.0 GPA. As of this year I'm a Research Fellow with the Fatima Fellowship and a Research Intern at the Saudi Medical AI Lab (SMAIL), mentored by faculty from Santa Clara University and Carnegie Mellon University respectively.

My research spans generative models for medical imaging — 3D MRI synthesis, latent representation learning — reducing hallucinations in vision-language models, dyslexia detection through ensemble learning, and class imbalance in object detection. My paper on feature-efficient dyslexia detection is published at KFUPM JURI (2026), and I was selected as one of the top 100 students from over 16,000 applicants at KAUST Academy's AI Summer School. I also hold the International Scholar Award from the University of Toronto.

Outside of research, I build things that ship: an AI-powered feedback and early-warning platform for the National Center for Mental Health Promotion, and agentic assistants for e-commerce, among others below.

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Python PyTorch TensorFlow LangChain LangGraph OpenCV Pandas NumPy SQL Next.js FastAPI Git

02 / research & experience

Research & Experience

  1. 04 / 2026 — present

    Research Fellow, Fatima Fellowship

    Working with Dr. Sarah Anjum (Santa Clara University) on 3D MRI synthesis using latent diffusion models, GANs, and the MONAI framework for medical generative modeling.

    [generative models]
  2. 09 / 2025 — present

    Research Intern, Saudi Medical AI Lab (SMAIL)

    Mentored by Dr. Sultan Alshehri (Carnegie Mellon University), building a LoRA-tuned verification gate to reduce hallucinations in vision-language models.

    [medical ai]
  3. 08 / 2025 — present

    Undergraduate Researcher, KFUPM Research Office

    "Deep Latent Space Representation Learning for Medical Image Enhancement" — exploring involutions for representation learning, under Dr. Shujaat Khan.

    [representation learning]
  4. 2026

    Published researcher, KFUPM JURI

    "Feature-Efficient and Interpretable Dyslexia Detection via Soft Voting Ensemble Learning" — engineered the approach, implementation, and evaluation; improved performance over baseline models by more than 2% across all metrics.

    [publication]
  5. 06 / 2025 — 09 / 2025

    Top 100 / 16,000+, KAUST Academy AI Summer School

    Selected from a national applicant pool to build agentic AI systems and applied ML projects under intensive mentorship from KAUST faculty and industry researchers.

    [selection]
  6. 2023

    International Scholar Award, University of Toronto

    $100,000 merit-based scholarship awarded for academic excellence, alongside multiple university-level academic achievement honors at KFUPM, including the Dean's List.

    [award]

03 / projects

Projects

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04 / contact

Get in touch

Open to research collaborations, internships, and conversations about AI, medical imaging, or anything you're building. Reach out directly or send a message.