Baijun Zhu is an experienced software engineer with a strong background in API development, front-end design, and machine learning applications. Zhu completed a summer internship at DeepMap, Inc., where migration of APIs enhanced server performance, and unit tests were conducted. At MomsInLA, front-end design skills were utilized to develop over ten websites, employing technologies like Ionic and Angular. Zhu worked on machine learning projects at UC Davis, including developing a Texas Hold’Em Poker game utilizing Monte Carlo methods and stochastic gradient descent. As a software engineer at Jobox.ai, Zhu implemented features for handling disputes and transaction limits, and at Google, Zhu developed APIs and Kubernetes deployments for customer support. Educational qualifications include a Bachelor's and a Master's degree in Electrical Engineering from the University of California, Davis.
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