Experience

  1. AI Research Intern

    Mayo Clinic
    Leading transition to a Graduate Research Associate role under Prof. Riaz at ASU. Developing LLM + rule-based systems for Hematology Oncology. Creating LLM pipeline to identify MACE events in oncology patient notes (RCC notes).

  2. AI Research Affiliate

    Mayo Clinic
    IRB onboarding, Mayo Clinic training for the transition and prototype pipeline for the BEACON LAB.

  3. Graduate Research Associate - ML in Multi-omics

    Arizona State University
    Conducted advanced research at the Biodesign Center for Fundamental and Applied Microbiomics under Prof. Qiyun Zhu. Directed the Phycollar Research Project, focusing on MLOps, automation testing, and agile ML methodologies. Implemented automated pipelines for model development and explainable AI (SHAP, LIME) in microbiomics.

  4. Graduate Research Associate - ML in Microbiomics

    Arizona State University, Biodesign Institute
    Guided Computer Science students on leveraging phylogenetic trees for microbiome data analysis. Developed MLOps pipelines using AutoKeras and SHAP/LIME. Optimized phylogenetic methods to improve model interpretability and performance.

  5. AI Research Collaborator

    NVIDIA (Stan Birchfield's Research Group)
    Optimized the LoFTR model, achieving a 12% boost in accuracy through synthetic datasets. Employed Blender to import, texture, and render 3D objects, enhancing model robustness by 10%. Analyzed vertex information from 150+ renders.

  6. AI Consultant - Topic Modeling

    Rosenblatt.AI (Branch.vote)
    Developed Large Language Models (LLMs) for unbiased topic modeling in political candidate analysis. Employed Python, BERTopic, LLaMA 3, AWS SageMaker, and Nvidia RAPIDS for scalable real-time insights.

Education

  1. Ph.D. in Biomedical Informatics and Data Science

    Arizona State University

    Advisor: Prof. Irbaz Riaz (ASU/Mayo Clinic) Co-Advisor: Prof. Li Liu GPA: 4.00

    Focus Areas: AI in Oncology, Generative AI, Large Language Models

  2. M.S. in Electrical Engineering (Machine Learning & Data Science)

    University of Washington

    GPA: 3.79

    Mentors: Prof. Stan Birchfield, Prof. Tamara Bonaci

    Specialized in machine learning, computer vision, and privacy-preserving ML for healthcare.

  3. B.S. in Electrical Engineering

    University of Business and Technology

    GPA: 3.43 Minor in Electronics & Communications

    Advisor: Prof. Mohammed Al-Qarni Location: Jeddah, Saudi Arabia

Skills & Hobbies
Programming & ML Frameworks
Python (PyTorch, TensorFlow, scikit-learn)
Machine Learning & Deep Learning
Cloud Computing (AWS, Azure, GCP)
LLMs & Generative AI
DevOps & Tools
Git, Docker, Kubernetes
CI/CD Pipelines
Data Science Tools
Awards
Saudi Arabia Cultural Mission (SACM) Fellowship
Saudi Arabia Cultural Mission ∙ September 2022
Awarded for excellence in graduate studies and research (2022-2024).
AWS Certified Cloud Practitioner
Amazon Web Services ∙ January 2023
Certified in cloud computing fundamentals and AWS services.
Microsoft Azure AI Fundamentals Certified
Microsoft ∙ January 2023
Certified in AI and machine learning fundamentals on Azure platform.
Languages
100%
English
100%
Arabic