About

Samuel Zemedkun is a highly skilled software engineer with almost 8 years of experience in the tech industry. He is currently working at Uber as a software engineer, where he has been able to apply his expertise in software engineering to develop innovative solutions that have helped to improve the company's services. Prior to joining Uber, Samuel worked as a machine learning engineer at AppThis LLC, where he was responsible for developing machine learning algorithms to improve the company's advertising services. He also worked as a data scientist at Sovrn Holdings, Inc., where he was responsible for analyzing large data sets to gain insights that would help to improve the company's services. Samuel has a strong educational background, having obtained degrees from the University of Colorado Boulder and Colorado College. He also attended Li Po Chun United World College of Hong Kong, where he developed a passion for technology and engineering. With his extensive experience in software engineering, machine learning, and data science, Samuel is a valuable asset to any company looking to develop innovative solutions in the tech industry. He is highly skilled in a range of programming languages and technologies, including Python, Java, and SQL. He is also a skilled researcher, having published several papers on topics related to machine learning and data science. Overall, Samuel is a highly motivated and skilled software engineer with a passion for developing innovative solutions that help to improve people's lives. He is committed to staying up-to-date with the latest technologies and trends in the industry, and is always looking for new challenges and opportunities to grow and develop his skills.