About

Christopher Canal is a highly skilled and passionate computer scientist with a strong focus on machine learning and data science. Currently working as a Software Development Engineer for Amazon's Last Mile team, he has designed, built, deployed, and maintained large-scale machine learning systems that serve more than 10 million daily customers worldwide. With over 6 years of relevant experience, Christopher has an impressive track record of success in the tech industry. Christopher's educational background includes a Bachelor of Science in Computer Engineering from Northeastern University, where he founded a company called Wizio that makes automation software for realtors. He also taught several workshops centered around arduino and hardware prototyping. Prior to this, he earned a Bachelor of Arts in Theater and Business from Point Park University and studied General Studies at Lone Star College. Throughout his career, Christopher has worked for several notable companies, including RunTitle and Rocket Software, where he served as a Senior Machine Learning Engineer and Data Scientist, respectively. At RunTitle, he analyzed complex legal tasks and designed approaches to automate work using machine learning, while at Rocket Software, he built semantic parsers to enable customers to perform complex queries on structured data rapidly and without having to know a query language. He also managed a team of 6 interns, designed weekly sprint goals, formalized problems for sprint stories, led code reviews, evaluated work, and provided feedback. Christopher's technical skills include ML, Software Engineering, AI, Research Science, Data Science, and NLP. He is a passionate computer scientist who enjoys NLP problems and is always looking for new challenges to tackle. With his impressive educational background and relevant experience, Christopher is a valuable asset to any organization looking to leverage the power of machine learning and data science to drive growth and innovation.