Experience
Research, industry, and laboratory experience across biomedical AI and medical technology.
Biomedical AI Researcher (Medical Imaging & Vision-Language Models)
Erasmus MC · Rotterdam, Netherlands · Internship · Dec 2025 – present
Research on vision-language models for liver lesion diagnosis from multiphase MRI, including fine-tuning Gemma models and building reproducible ML pipelines and statistical analysis frameworks for clinical AI validation. This work formed my Master’s thesis, “Multiphase Liver MRI Classification with Vision-Language Models: From Benchmark Prompting to Interpretable Explanations”.

AI Developer
OFoundation · Utrecht, Netherlands · Internship · Apr 2025 – Jan 2026
Worked on projects at the intersection of AI and healthcare:
- Programming AI systems, such as a self-driving robot, and service and robot management
- Software implementation and development, and designing AI-driven applications for business use
- Cloud-based solutions on Amazon Web Services (AWS) and automated workflows with n8n
- Contributing to Vapi voice agent integration
- Implementing speech transcription and diarization pipelines for internal projects

Team Lead / ML Engineer
CNTXT · Abu Dhabi, United Arab Emirates · Full-time · Apr 2024 – Mar 2025
Skills: Python, leadership.
Internship Trainee
Cadmium for Lab Equipment & Maintenance · Amman, Jordan · Internship · Jun 2023 – Aug 2023
- Calibration training for Shimadzu instruments: HPLC, GC, atomic absorption spectrophotometer, IR, and UV
- Installation and maintenance
- Validation and regulation: preventive maintenance, performance quality, and installation quality

Laboratory Equipment Trainee
New Universal Lab · Amman, Jordan · Internship · Apr 2023 – Jun 2023
Training sessions on incubators, hematology analyzers, fully automated chemistry analyzers, and microbiology incubators, plus the basics of the related software.
Machine Learning Research
Jordan University of Science and Technology · Irbid, Jordan · Part-time, hybrid · Feb 2023 – Jun 2023
- Digital image processing of brain tumor MRI images: filtering, segmentation, and feature selection and extraction
- Machine learning (SVM and neural networks) to classify tumors as benign or malignant
- Built an app platform that enhances the image, segments it, detects the tumor region, and classifies it from extracted features
Tools: MATLAB.
Internship Trainee
JoVision · Irbid, Jordan · Internship · Nov 2022 – Jan 2023
- App building in Python and C#
- Artificial intelligence for cancer detection
Internship Trainee
Siemens Healthineers · Jordan · Internship · Jul 2022 – Nov 2022
- General maintenance concepts for X-ray, CT, MRI, and cyclotron systems
- PCR and laboratory automation
- PACS and DICOM protocols
- Sales concepts

