About

Chentai Kao is a highly skilled and experienced software engineer, currently working at Newfront Insurance as a Software Engineer and a Member of South Park Commons. With over 4 years of professional experience, Chentai is a machine learning practitioner and full-stack software engineering generalist. He has a diverse technical background that includes designing and launching machine learning models at LinkedIn, building mission-critical ads systems, and working on relevance system infrastructure. Chentai's expertise in machine learning and full-stack software engineering is evident from his work at LinkedIn where he worked in the LSS Relevance team that powers Sales Navigator, the best lead prospecting tool in the B2B industry. He applied machine learning to build an end-to-end data pipeline that generates lead recommendations, which involved data modeling, ETL, database, API design, and frontend metrics tracking for AB-testing purposes. He used Spark, Pig script, Hadoop, Python, NLP, neural network, and Galene (LinkedIn's search framework) to work on the search engine behind Sales Navigator. Chentai is a self-driven learner who completed his master’s degree in Computer Science from Stanford University in 2015. He continues to take supplemental courses and technical reading to stay up-to-date with the latest technologies and industry trends. Chentai also holds a Bachelor of Science in Electrical and Electronics Engineering from National Taiwan University. Chentai's technical expertise includes software engineering, machine learning, infrastructure, search, Python, NLP, Spark, test, Javascript, neural networks, Hadoop, Elastic Search, ETL, Flask, and frontend. He has a relevant experience of 8.54 years, and his ability to build end-to-end full-stack applications with amazing accuracy is commendable. Chentai's dedication to his work and his desire to learn and improve make him an asset to any team.