Yujun Lee is a skilled software engineer and data analyst with experience at several prominent organizations. At United States Forces Korea, Yujun operated as a data analyst and interpreter, analyzing MASINT data to identify potential threats. Following this role, Yujun worked at Meta as a software engineer focusing on real-time infrastructure, and completed an internship at Samsung Electronics, where container management and automation for RANs were key responsibilities. As a graduate research assistant at Carnegie Mellon University's College of Engineering, Yujun contributed to projects involving the Cerebras Wafer Scale Engine AI processor and homomorphic encryption. Additionally, as a teaching assistant, Yujun supported the instruction of over 200 students in computer systems topics. Yujun holds a Bachelor's degree in Electrical and Computer Engineering with a minor in Computer Science from Carnegie Mellon University and is currently pursuing further education there.
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