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Camilo Sanín
Machine Learning Engineering @ Amazon
About
Camilo Sanín is a highly skilled Machine Learning Engineer with a wealth of experience in the field. Currently working at Amazon, Camilo is responsible for the development and implementation of Freevee, a machine learning-based system that provides personalized recommendations to customers based on their viewing history and preferences. Camilo's educational background is impressive, with a Doctor of Philosophy degree in Computer Science from Columbia University, as well as a Master of Philosophy and a Master of Arts degree in the same field. He also holds a Bachelor of Science degree in Biology from Universidad de los Andes, and a Master of Science degree from the same institution. Camilo's technical expertise is focused on Machine Learning, and he has a deep understanding of the latest algorithms and techniques in the field. He is skilled in programming languages such as Python and R, and has experience with data analysis and visualization tools like Pandas and Matplotlib. With over 1.28 years of relevant experience, Camilo has worked on a variety of projects in the Machine Learning space, including natural language processing and computer vision. He is a dedicated and hardworking professional who is constantly seeking new challenges and opportunities to expand his knowledge and skills. Camilo is an excellent communicator and collaborator, and he is passionate about using Machine Learning to solve complex problems and improve the lives of people around the world. He is a valuable asset to any team, and his expertise and experience make him an ideal candidate for any Machine Learning-related role.
Education Overview
• columbia university
• universidad de los andes
Companies Overview
• amazon
• jp morgan
• mapbox
• missouri botanical garden
• columbia university
Experience Overview
8.3 Years
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