Ilay Sabah
@ilaysabah
Data Scientist building end-to-end healthcare AI with NLP and multimodal ML.
What I'm looking for
I build end-to-end AI systems for healthcare, turning complex clinical data into high-impact insights and scalable ML solutions. At DataMED Lab - TAU, I led predictive analytics with a major Israeli HMO, analyzing ~1,700 patients and 65+ features to identify key risk factors for disease outcomes using HuggingFace, fine-tuning, and RAG-style approaches.
I also develop deep learning NLP and multimodal frameworks for clinical prioritization, including work analyzing data from over 7,000 patients across 7 countries. I engineer robust data pipelines (ETL, Spark), vector/data infrastructure (FAISS, ChromaDB, MongoDB), and hybrid multimodal architectures combining RAG-augmented context with tabular and graph-based relational features (GCN), while strengthening model performance and reliability through careful preprocessing and tooling.
Experience
Work history, roles, and key accomplishments
Data Scientist & ML Engineer
DataMED Lab - TAU
Jul 2025 - Present (1 year 1 month)
Led an end-to-end predictive analytics project with a major Israeli HMO, analyzing ~1,700 patients to identify key risk factors for disease outcomes using ML and LLM techniques. Built deep learning NLP and multimodal architectures for medical exam prioritization and clinically grounded prediction, including RAG-based context and graph-based modeling.
Freelance Data Annotator
Data Annotation Tech, Outlier, Peroptyx
Sep 2024 - Jul 2025 (10 months)
Crafted and refined high-quality data prompts and annotations across Python, Java, JavaScript, mathematics, and general knowledge topics. Reviewed and corrected peer annotations to maintain consistent quality and compliance with guidelines.
Education
Degrees, certifications, and relevant coursework
Holon Institute of Technology
Bachelor of Science, Digital Medical Technologies
2024 -
Grade: GPA: 91
Multidisciplinary B.Sc. program at the intersection of healthcare and technology, focused on data engineering, computer science, and medical knowledge. Coursework includes machine learning & deep learning, NLP, data mining, computer vision, and big data architectures.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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