Alisia Wan is a skilled software engineer with a strong academic background and relevant internship experience at leading technology companies. At TikTok, Alisia served as a Backend Software Engineer Intern, focusing on performance optimization in e-commerce engineering. During the internship at Microsoft, Alisia conducted research on distributed deep learning, enhancing the training processes for large language models. Alisia further honed software engineering skills at Google by developing an automatic alert system for Gpay, and currently works at Meta, where Alisia created a real-time error suggestion feature for location management. Alisia holds a Master’s degree in Computer Science with a perfect GPA from UC San Diego, a Bachelor's degree in Electrical and Electronics Engineering from Shanghai Jiao Tong University, and participated in an exchange program at The University of Texas at Austin.
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