About

Murphy Liu is a highly skilled software engineer with over 5 years of relevant experience in solving real-world problems using data and code. He has a passion for fast prototyping and tool development, with a recent focus on fleet management and fraud prevention at Amazon. Murphy is proficient in Python, Java, C, SQL, R, and SAS, and has experience with popular frameworks such as Django, Flask, and Selenium. He is also well-versed in machine learning libraries like Tensorflow, Keras, and Scikit-learn, and is comfortable with tools such as Docker, Anaconda, Jupyter, PyCharm, IntelliJ, VS Code, and Git. Murphy has experience with cloud platforms like AWS and Heroku, and is familiar with RESTful APIs and Postman. In his current role at Amazon, Murphy is responsible for fast prototyping vehicle repossession solutions using OnStar remote APIs, creating fleet connectivity reports and system monitors, and developing tools for fleet management and vehicle on/off boarding. He also automates multiple tasks through various APIs. Prior to Amazon, Murphy worked at General Motors as a Telemetry Analyst and Technologist, where he developed test cases for VSM and performed E2E testing on vehicles, troubleshooted and diagnosed log errors with app developers, and maintained inventory and test reports. Murphy holds a Master's degree in Computer Science from the Georgia Institute of Technology, a Master's in Engineering from the University of Michigan, and a Bachelor's in Engineering from Huazhong University of Science and Technology. Murphy's technical skills and experience make him a valuable asset to any team looking to solve complex problems using data and code.