Shi D.
About Shi D.
Shi D. is a Senior Member of Technical Staff at Cerebras Systems, with a strong background in computer engineering and deep learning. He holds a Ph.D. in Computer Engineering from Northeastern University and has previously worked at notable companies such as AMD, Intel, and Samsung Electronics.
Work at Cerebras Systems
Currently, Shi D. serves as a Senior Member of Technical Staff at Cerebras Systems, a position held since 2022. Prior to this role, Shi D. worked as a Member of Technical Staff at the same company from 2020 to 2022. In these roles, Shi D. has contributed to advancements in high-performance computing and deep learning technologies.
Education and Expertise
Shi D. holds a Doctor of Philosophy (Ph.D.) in Computer Engineering from Northeastern University, where studies were completed from 2014 to 2020. Prior to this, Shi D. earned a Master’s Degree in Telecommunications Engineering from Beijing University of Posts and Telecommunications from 2007 to 2010. Shi D. also obtained a Bachelor’s Degree in Telecommunications Engineering from the same university from 2003 to 2007. The educational background supports expertise in deep learning, high-performance computing, and big data analytics.
Background
Shi D. has a diverse professional background, having worked in various roles across multiple companies. This includes a position as a Software Engineer at Intel Corporation from 2012 to 2014 in Beijing City, China, and as a DSP Engineer at MediaTek from 2010 to 2012. Additionally, Shi D. completed internships at AMD in 2018 and Samsung Electronics in 2015, gaining experience in research and development.
Academic Contributions
Shi D. maintains a Google Scholar profile that highlights academic contributions and citations in the field of computer engineering. This profile showcases research work and publications that reflect a commitment to advancing knowledge in areas such as deep learning and high-performance computing.
GitHub Repository and Projects
Shi D. actively maintains a GitHub repository that focuses on AI-related projects. This repository serves as a platform for sharing code and collaborating on projects that align with interests in deep learning and big data analytics.