Biomedical Engineer | MSc. Electrical Engineering
Engineering Intelligent Systems
& Digital Experiences
Machine Learning Engineer & Entrepreneur specializing in predictive models, computer vision, and innovative game development.
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Bridging deep tech
with product innovation.
I am an innovative and driven biomedical engineer with a strong background in electrical engineering and machine learning. I specialize in analyzing complex biological data to extract actionable insights and applying machine learning algorithms to solve biomedical problems. With a foundation in Medical Engineering and an MSc in Electrical Engineering, I focus on designing, developing, and testing complex systems with a focus on technical excellence and practical application.
What I Do
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Machine Learning & AI Architectures
Designing CNNs, ViTs, and LLMs for healthcare and predictive data analysis.
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Technical Development & Analysis
Full lifecycle model deployment, from feature extraction to ensemble optimization.
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Entrepreneurship & Game Design
Leading Acagamia, driving market research, strategic planning, and game development.
Technical Expertise
A carefully cultivated stack for high-performance AI and engineering.
Programming & AI
Tools & Libraries
Certifications & More
Selected Works
Innovative solutions across MedTech, AI logic, and game development.
Brain Tumor Classification using CNN and ViT
Achieved state-of-the-art accuracy using an ensemble learning method with 4 fine-tuned neural network models, combining Convolutional Neural Networks and Vision Transformers.
Retinal Disease in OCT Detection
Deployed ResNet, DenseNet, and VGG models with ensemble learning to detect diseases in OCT images, evaluating performance via AUROC and sensitivity.
Kidney Stone Detection AI
Extracted features from X-ray images and applied SVM models to reach a 97% diagnostic accuracy, focusing on sensitivity and F1 score.
Optimized FIR Filter Design
Research on optimizing FIR filters using Genetic Algorithms for ECG signal processing. Published in BioMedInformatics (2023).
Publications & Research
Academic contributions to the field of AI and Biomedical Engineering.
Optimized FIR Filter Using Genetic Algorithms: A Case Study of ECG Signals Filter Optimization
Brain Tumor Classification Using CNN and ViT
The Engineering & Academic Process
A systematic approach to solving technical problems and empowering students.
Inquiry
Identifying complex engineering challenges and student learning gaps through data and observation.
Design
Architecting intelligent AI systems and structured academic modules tailored for high impact.
Execution
Deploying advanced ML models and facilitating interactive, high-engagement classroom sessions.
Validation
Measuring technical performance and student success through rigorous SOTA testing and feedback.
Professional Journey
Teacher Assistant
German Jordanian University • Electrical & Industrial Engineering Depts
Supervising and teaching students across multiple engineering departments, reinforcing complex learning concepts, and managing academic evaluations.
Logistics Officer
Professional Logistics • Amman, Jordan
Coordinated goods movement, managed inventory storage and distribution, and ensured cost-effective logistics operations.
Teacher Assistant
Princess Sumaya University for Technology • Electrical & Industrial Engineering Depts
Accumulated over 3 years of teaching experience across two prestigious universities, mentoring students in core engineering principles and advanced research applications.
Education
M.S., Entrepreneurship and Innovation Management
German Jordanian University • GPA: 92/100
M.S., Electrical Engineering
Princess Sumaya University for Technology • GPA: 79.9/100
B.S., Medical Engineering
Amman Alahliyya University • GPA: 85.7/100 (Excellent)
Let's Work Together
Whether you have a groundbreaking AI concept or need strategic technical direction, reaching out is the first step.