PROFESSIONAL EXPERIENCE

At the SAMPL (Signal Acquisition, Modeling, Processing, and Learning) Lab at the Weizmann Institute, I worked as an AI researcher under the supervision of Prof. Yonina C. Eldar. My research focused on AI-driven signal processing and medical imaging, contributing to projects in ultrasound diagnostics, generative models, and multimodal learning. This experience allowed me to develop deep learning models and write my Master’s thesis on disease detection and imaging enhancement using raw data ultrasound in an undersampling context.

At Rafael Advanced Defense Systems, I worked as a Big Data Engineer, contributing to projects in natural language processing (NLP), machine learning, and computer vision. My work included developing an NLP model for issue classification from Hebrew audio, creating predictive models for logistics optimization, and designing a computer vision solution for missile battery inspection.

At the AI Technion Laboratory, I worked as a Research Assistant, focusing on deep reinforcement learning for resource optimization in hospital catheterization labs. My work involved developing a real-time recommendation model using a multi-agent system to efficiently manage staffing and room assignments, reducing patient wait times and improving overall hospital workflow. This experience allowed me to apply reinforcement learning techniques to real-world challenges and gain hands-on expertise in AI-driven decision-making systems.