I am a motivated graduate student at the University of California Riverside, currently pursuing my M.S. in Computer Science with a strong foundation in CUDA, High Performance Computing, and Machine Learning. With a background in Data Science and Economics from China Agricultural University, I have developed expertise in parallel programming, networking, and backend development. I enjoy designing and implementing scalable software systems and am committed to delivering high-quality, efficient solutions.
I have practical experience as a Software Engineer Intern at Datalynn, where I enhanced API performance, optimized data caching, and deployed monitoring tools to reduce incident resolution times. I am passionate about software engineering, continuous learning, and collaboration in agile environments to contribute effectively to technology projects.
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