David Chettrit

David Chettrit is a passionate AI enthusiast with a knack for solving challenging technical problems. He operates as a consultant, specializing in developing custom Deep Learning solutions for top-tier startups in Tel Aviv and abroad. His focus lies in hands-on projects and consulting services, particularly in the realm of entrepreneurship and early-stage startups.

His expertise spans across various AI domains including Computer Vision, Image Processing, Natural Language Processing, Generative Models, and more. David excels in working with diverse data types such as visual, audio, time series, and text, leveraging Deep Learning and Machine Learning techniques to drive innovation.

With a strong emphasis on end-to-end solution development, David is adept at transforming machine learning models into reliable and scalable products. He has a profound understanding of both Cloud-based and on-premises solutions, with significant experience in the medical AI field, developing solutions for detecting ailments like Pulmonary Hypertension, Vertebral Compression Fractures, and Ischemic Strokes.

David's academic background is a testament to his expertise, holding a Master of Science in Computer Science from Eidgenössische Technische Hochschule Zürich (ETH Zurich) and engaging in Deep Learning research at the University of California, Los Angeles (UCLA). He is also an accomplished author with publications in renowned conferences such as MICCAI & SPIE.

Beyond his professional endeavors, David values creating fun and efficient work environments. He enjoys exploring new languages and encourages communication in diverse linguistic settings.

Throughout his career, David has held positions such as an Artificial Intelligence Consultant in freelance capacity, a Machine Learning Researcher at Zebra Medical Vision Ltd, a Software Engineer Intern at Intel Corporation, and various teaching and tutoring roles across different organizations.