About

Uri Merhav is a highly skilled machine learning consultant with over 11 years of relevant experience in the industry. He is a former staff machine learning engineer at LinkedIn and has authored 15 registered machine learning patents. Uri specializes in solving algorithms from head to toe, translating business needs to AI product definitions, and building machine learning solutions from scratch for top-tier startups in the San Francisco Bay Area. Uri's specialities include machine learning and deep learning, computer vision, digital signal processing, data science, and natural language processing. He has built state-of-the-art face recognition platforms for RealFace (bought by Apple) and a host of TensorFlow-based applications in LinkedIn. He has also worked on segmentation, modeling, reconstruction, and object detection in computer vision. Moreover, he has experience in maximum likelihood estimation and real-time signal analysis in digital signal processing. Uri has also worked on language modeling, Hadoop workflows, and data exploration in data science and natural language processing. Uri has repeatedly moved models from the 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. He has built models that train on petabytes of data. Currently, Uri is the co-founder of Photobear, a company that aims to make every image on the web load two times faster while looking better, using AI. In the past, Uri has worked as a senior machine learning engineer and staff machine learning engineer at LinkedIn. He has used TensorFlow to infer a latent representation for all of LinkedIn's entities and define similarities between all entities, resulting in over $5 million in A/B test. He has also applied a host of signals on LinkedIn along with deep learning techniques to build a language-agnostic standardization model that makes sense of member input text in all European languages. Uri holds a Master of Science (M.Sc.) in Physics with a specialization in condensed matter and materials physics and a Bachelor of Science (BSc) in Physics and Electrical Engineering from Tel Aviv University. His tech stack includes ML, AI, deep learning, AWS, object detection, TensorFlow, NLP, computer vision, data scientist, web, Hadoop, test, research scientist, and Python.