About

Daniel Qiu is a highly skilled Senior Software Engineer with over 4 years of experience in the tech industry. He is currently working at Cruise, where he holds the position of Senior Software Engineer II. Prior to this, he worked at LinkedIn as a Staff Software Engineer and Senior Software Engineer, where he was responsible for leading the team that built Machine Learning Infrastructure. Daniel is a full-stack engineer with a strong interest in distributed systems, cloud computing, and machine learning infrastructure. His expertise lies in software engineering, machine learning, and infrastructure development. He is proficient in a wide range of programming languages, including Java, Python, Spark, and React.js, among others. Daniel has a Master's degree in Computer Science from the University of California, Los Angeles (UCLA), where he obtained a deep understanding of computer systems, software engineering, and machine learning. He also holds a Bachelor's degree in Computer Software Engineering from Tongji University. Throughout his career, Daniel has been involved in several projects that have improved productivity and efficiency for engineers in the AI and Machine Learning space. At LinkedIn, he developed the AI Metadata service, which serves as the backbone and centralized hub of the ML platform, making it essential for the reproducibility and automation of the ML process. He also built the component for data and model analysis in the offline ML training pipeline using Spark. Daniel is highly skilled in a wide range of technologies, including MySQL, Elastic Search, Kafka, and Ember.js. He has also stepped up as the interim Tech Lead for the UI team with 7 engineers working on a 6-month migration from Ember.js to React.js for the ML Workspace. Overall, Daniel is a highly skilled and experienced Senior Software Engineer with a strong background in machine learning, infrastructure development, and software engineering. He is a valuable asset to any team and is always looking for new and innovative ways to improve productivity and efficiency in the tech industry.