Computer Vision Engineer at BrainWatch, a MedTech company that develops innovative solutions for brain damage detection. In this role, I lead the development of image processing and machine learning algorithms, applying my expertise in signal processing and deep learning.One of my notable achievements is the conceptualization and deployment of a convolutional neural network for analyzing pupils, which optimizes medical applications for healthcare professionals. This project demonstrates my ability to create impactful and cutting-edge solutions for the medical industry, using Python and various ML frameworks.I have a strong academic background in Electrical and Computer Engineering, with a BS degree from Ben-Gurion University of the Negev, specializing in image and signal processing. I have also completed multiple certifications in exploratory data analysis, supervised machine learning, and Python programming, enhancing my skills and knowledge in the MedTech sector. My goal is to leverage my passion and expertise in computer vision and machine learning to create innovative and impactful solutions for the medical industry.