About

Xingchen Liao is a highly skilled software engineer with extensive experience in developing autonomous vehicle operating systems and self-driving platform dispatch systems. He is currently enrolled in the Master of Engineering program at the University of California, Berkeley, and has a Bachelor of Science degree in Computer Science from the University of Southern California. Xingchen has worked with top-tier technology companies such as Uber and Amazon, where he developed the recipe search service backend for Alexa and built a vehicle dispatch platform that transmits different types of tasks to self-driving vehicles. He has also worked on backend entity resolution service design and implementation, which helps the Alexa speech servlet disambiguate user requests using PlatformSearchNG and AWS SQS service. As an undergraduate researcher at the USC Viterbi School of Engineering Robotics Research Lab, Xingchen worked on a robot nervous imitation program using V+ to conduct research about the interrelationship between muscle activation and end force at fingertip. He also developed an API that converts C++ requests into V+ operations and integrated it into the AdeptSix 300 robot arm. Xingchen has a strong technical background in DeFi, software engineering, AWS, backend development, research science, Golang, and search. He is a highly motivated and results-driven individual with a proven track record of delivering high-quality work on time and within budget. With 4.85 years of relevant experience, Xingchen is an excellent addition to any team that values innovation, collaboration, and excellence.