Shaw Nguyen
About Shaw Nguyen
Shaw Nguyen is a GPU Software Engineer with extensive experience in AI research and programming. He holds multiple degrees in computer science and data science from prestigious institutions, including Stanford University and the University of Michigan.
Work at Moreh
Shaw Nguyen currently holds the position of GPU Software Engineer at Moreh, where he has been employed since 2023. In this role, he focuses on optimizing GPU performance for various applications. His contributions include enhancing the acceleration of llama2.c serving through GPU optimization, which resulted in a performance improvement of 1.5 times compared to the existing state-of-the-art implementation, vLLM.
Education and Expertise
Shaw Nguyen has a solid educational background in computer science and data science. He is pursuing a Master's degree in Data Science at the University of Michigan, expected to complete in 2025. He also holds a Master's degree in Computer Science with a specialization in AI from Stanford University, which he is studying from 2022 to 2024. Additionally, he earned a Bachelor's degree in Data Science & Artificial Intelligence from Hanoi University of Science and Technology, completing his studies in 2023.
Background
Shaw Nguyen's academic journey began at Tran Phu Gifted High School, where he focused on Mathematics from 2016 to 2019. He furthered his education at Ostbayerische Technische Hochschule Regensburg, where he studied Deep Learning for four months in 2021. His diverse educational experiences have equipped him with a strong foundation in AI and data science.
Previous Experience
Before joining Moreh, Shaw Nguyen worked as a Teaching Assistant at VinBigData for one month in 2023. This role took place in Hoàng Mai District, Hanoi, Vietnam, and involved supporting educational initiatives in data science. His experience in teaching complements his technical skills in programming and AI research.
Programming Experience
Shaw Nguyen has accumulated nine years of programming experience, with a focus on AI research and industrial projects for the past four years. His skill set includes developing desktop-based solutions, which integrates his expertise in AI and data science, enabling him to tackle complex technical challenges effectively.