About

Uri Merhav is a highly experienced machine learning consultant and former Staff Machine Learning Engineer at LinkedIn, with over 11 years of relevant experience in the field. He is also an author of 15 registered machine learning patents, showcasing his expertise in the industry. Uri specializes in solving algorithms from head to toe, translating business needs to AI product definition, and building machine learning solutions from scratch for top-tier startups in the San Francisco Bay Area. Uri's specialties include machine learning, deep learning, computer vision, digital signal processing, data science, natural language processing, and production know-how. He has built state-of-the-art face recognition platforms for RealFace (bought by Apple) and a host of Tensorflow-based applications in LinkedIn, ranging from ads expansion using vector embedding techniques to profile photo analysis using convolutional neural nets. Uri is also highly skilled in data exploration, language modeling, Hadoop workflows, and real-time signal analysis. As a consultant, Uri has repeatedly moved models from concept level to stable production-grade software, meeting performance latency constraints, and impacting over 500 million members on LinkedIn. He is also able to kick off and scale model training and serving at scale on AWS and other cloud solutions cost-effectively. Uri has built models that train on petabytes of data, showcasing his ability to handle complex projects. Currently, Uri is the Co-Founder of photobear, a company that aims to make every image on the web load 2x faster while looking better, using AI. In the past, he has worked as a Senior Machine Learning Engineer and Staff Machine Learning Engineer at LinkedIn, where he built a host of models that resulted in significant improvements across different areas of the platform. Uri holds a Master of Science (M.Sc.) in Physics from Tel Aviv University, where he specialized in Condensed Matter and Materials Physics. He also has a BSc in Physics and Electrical Engineering from Tel Aviv University. Uri's tech stack includes ML, AI, Deep Learning, AWS, Object detection, Tensorflow, NLP, Computer Vision, Object Detection, Data Scientist, Web, Hadoop, test, Research Scientist, and Python.