About

Andrew Chen is a highly skilled software engineer with 6.45 years of relevant experience in the industry. He is currently working at Databricks as a Software Engineer, where he is involved in the development of the big data analytics platform from the creators of Apache Spark. Andrew has also worked as a Software Engineering Intern at Databricks, where he worked on the cloud automation backend of the platform. He re-architected Spark worker nodes to a container-based deployment model leveraging new technologies such as Docker, CoreOS, and Kubernetes. Additionally, he created monitoring tools on the Databricks platform using Spark 2.0 Dataframes for the backend component that launches and manages Databricks clusters. Prior to Databricks, Andrew worked as a Software Engineering Intern at Pinterest, where he worked on the search team to include link level category signals into the search index. He wrote jobs and refactored search experiments dashboard to identify true local users in international countries based on the detected language of search queries. He also created a naive bayes classifier to detect the entities of product rich pins. Andrew has a Bachelor of Science (BS) degree in EECS from the University of California, Berkeley. During his time at the university, he gained a strong foundation in software engineering, which has helped him excel in his career. Andrew is proficient in a range of technologies, including Databricks, Spark, Backend, Search, Big Data, Kubernetes, Docker, and Naive Bayes. With his exceptional skills and experience, Andrew is a valuable asset to any organization he works with.