Open to opportunities

Aya Alhamwe

@ayaalhamwe

Message

I am a passionate AI engineer specializing in ML and computer vision.

Jordan

Message

What I'm looking for

I seek an entry-level AI/ML role where I can apply computer vision and ML skills, contribute to impactful real-world projects, work collaboratively, and grow in ML engineering and MLOps.

I am a passionate Artificial Intelligence graduate with a B.Sc. in Data Science and Artificial Intelligence, experienced in designing, developing, and optimizing intelligent systems. I led projects such as ALIVE (human detection in disasters), LULC satellite classification, and a hand gesture-controlled system, demonstrating practical strengths in computer vision, deep learning, and data pipelines.

I build end-to-end solutions from ETL pipelines and model training (TensorFlow, Keras, scikit-learn) to deployment and MLOps practices (Docker, CI/CD, cloud) and work with PostgreSQL, Arduino, OpenCV, and Mediapipe. I thrive in dynamic, team-oriented environments, hold ML engineering and MLOps training, and am eager to apply AI solutions to real-world problems while continuing to grow professionally.

Experience

Work history, roles, and key accomplishments

Graduation Project: ALIVE

Zarqa University

Developed ALIVE, an AI-based human detection system to assist rescue teams in disasters by identifying survivors in complex image data and improving detection reliability for life-saving missions.

Computer Vision Deep Learning TensorFlow Keras OpenCV Python data preprocessing Model Evaluation

Education

Degrees, certifications, and relevant coursework

Zarqa University

Bachelor of Science, Data Science and Artificial Intelligence

2021 - 2025

Activities and societies: Graduation project: ALIVE — human detection in disasters. Additional academic projects: star classification, LULC classification, hand gesture recognition (OpenCV/Mediapipe/Arduino), weather ETL pipeline, and financial news sentiment analysis and ranking.

Completed a Bachelor of Science in Data Science and Artificial Intelligence with emphasis on machine learning, computer vision, and data analysis; graduated July 2025.