About

Shijie (Jay) Huang is an experienced software developer with a focus on full-stack development. He is currently a Full Stack Intern at TuSimple, where he has built a full-stack application for the simulation team of the autonomous driving algorithms department. He has also created behavior editor websites for simulated NPC cars using Vue3, antVX6 graphing tools, element plus UI framework, and Pinia cache store. Shijie has set up MongoDB to store behavior JSON data and completed the auto-save synchronization feature with multiple users. He has also constructed the code converter from behavior data to C++ code to execute simulation cases within Dockers, which has helped speed up the test scenario launching process 10X times faster. In the past, Shijie has worked as a Backend Development Intern at Bilibili Group, where he participated in the development of the enterprise-level video storage platform. He also composed an efficient storing strategy utilizing Hive and Spark to analyze tens of TBs data of video production and visit records, which resulted in a 15% video storing cost deduction. Shijie has also worked as a Software Engineer Intern at Huawei, where he applied Python Tkinter and Regular Expression to design and develop an automatic unit-test tool with front-end GUI and back-end data processing. He collaborated with colleagues to improve the features of the unit-test tool and executed code refactoring. Shijie deployed the automatic unit-test tool to generate thousands of test functions with the register handbook, covered more than 95% corner cases of register-level functions, discovered and eliminated tens of vulnerabilities. He created a static tool to scrutinize functions calling relationship and usage situation in the scale of Gigabytes codebase by implementing MapReduce mechanism to improve efficiency and optimize memory usage situation at runtime. Shijie is a first-year CS master student at the University of California, San Diego, and he is expected to complete his degree in 2023. He also holds a Bachelor of Science in Computer Science from the University of Wisconsin-Madison, which he completed in 2021. Shijie has a strong tech stack that includes software engineering, backend development, test, MongoDB, frontend development, UI, Spark, Kubernetes, Kafka, Apache Hive, MapReduce, and Python. With 0.60 years of relevant experience, Shijie is seeking a full-time software engineer position in 2023.