About

Matthew Hayes is a highly experienced Staff Software Engineer currently working at Databricks. With over 17 years of relevant experience, he has a strong background in software engineering, machine learning, and data analysis. Before joining Databricks, Matthew held various leadership positions at The Apache Software Foundation, where he served as Vice President of Apache DataFu. He was responsible for leading the development of an open-source data processing library that enables users to perform complex data analytics tasks efficiently. Matthew has also worked as a Principal Machine Learning Engineer at Workday, where he developed and implemented machine learning algorithms to improve the company's HR and finance systems. Matthew holds a Bachelor's degree in Electrical Engineering with a Computer Option from the University of California, Los Angeles. During his time at UCLA, he gained a strong foundation in computer programming and data analysis, which has been invaluable throughout his career. Matthew's technical skills include software engineering, senior software engineering, and machine learning. He is proficient in programming languages such as Java, Python, and Scala and has experience working with big data technologies such as Hadoop and Spark. Overall, Matthew is a highly skilled and experienced software engineer with a passion for developing innovative solutions to complex data problems. His expertise in machine learning and data analysis makes him a valuable asset to any organization looking to leverage the power of data to drive business success.