Hi, I am Raphael
Machine Learning and AI Engineer with advanced expertise in signal processing, computer vision, and Big Data, currently completing a Master’s thesis at the Weizmann Institute under Prof. Yonina C. Eldar. Experienced in developing AI models in Computer Vision, NLP, Audio Signal Processing, with roles in both industry and research. Actively seeking a position to apply my technical skills in AI, Machine Learning, Big Data and Software Engineering.
Raphael Cohen
AI - Big Data Engineer - Data Scientist
+ 972 (0) 53-222-1220
E-mail :
Adress :
81 Ben Yehuda street, Tel Aviv, Israel
Birthdate :
2 of April 1998
Phone Number :
2024-2025
AI Researcher
SAMPL Lab
Developped AI-driven signal processing models to enhance ultrasound diagnostics, aiming to replace MRI for pleural effusion detection and liver fat quantification. This work integrates multimodal models, generative techniques, and task-based beamforming for precise analysis and image reconstruction.
2023-2024
Rafael Advanced Defense System
Big Data Engineer
Big Data Engineer at Rafael Advanced Defense Systems, contributing to NLP, Machine Learning, and Computer Vision projects. Developed an NLP model for issue classification from Hebrew audio, predictive models for logistics delays, and a Computer Vision solution for missile battery inspection.
2022-2023
Research Assistant
AI Technion Laboratory
Research Assistant at AI Technion Lab, collaborating on a deep reinforcement learning project to optimize resource allocation in hospital catheterization labs. Developed a real-time recommendation model using a multi-agent system to efficiently manage staffing and room assignments, reducing patient wait times and improving satisfaction.
2024-2025
Master Thesis
Weizmann Institute of Science
Worked on a Master’s thesis under the supervision of Prof. Yonina C. Eldar, focusing on AI-based detection of pleural effusion and liver fat estimation from raw ultrasound data. Developed AI-enhanced imaging techniques tailored for disease detection and designed transformer-based models capable of identifying medical conditions directly from ultrasound signals without relying on traditional image reconstruction.
2023-2024
Master
ENS Paris Saclay
Master's Degree in Mathematics, Computer Vision, and Machine Learning (MVA).
2019-2023
Bachelor
Technion Israel Institute of Technology
Studied Mathematics, Statistics, Probability, Software Engineering, Convex Optimization, Game Theory, Graph Theory, Machine learning, OS Systems, IOT, Computer Vision and NLP.