Anqi Wang

Anqi Wang

Software Engineer @ LinkedIn: Log In or Sign Up

About Anqi Wang

Anqi Wang is a software engineer currently employed at LinkedIn in Sunnyvale, California, since 2022. With a background in artificial intelligence and experience at companies such as Amazon and Carnegie Mellon University, Wang has developed a strong foundation in software development and data science.

Current Role at LinkedIn

Anqi Wang has been employed as a Software Engineer at LinkedIn since 2022. Based in Sunnyvale, California, Wang has contributed to various software development projects within the organization. This role marks a significant step in Wang's career, building on prior experience in software engineering.

Previous Experience at Amazon

Before joining LinkedIn, Anqi Wang worked at Amazon as a Software Engineer from 2020 to 2022. During this two-year tenure in Sunnyvale, California, Wang was involved in software development and engineering projects that contributed to the company's operational efficiency and product offerings.

Teaching Assistant Roles at Carnegie Mellon University

Anqi Wang served as a Teaching Assistant at Carnegie Mellon University's School of Computer Science, specifically in the Language Technologies Institute. Wang held this position for four months in 2020 and previously for eight months from 2019 to 2020. In these roles, Wang supported faculty and students in various academic activities.

Educational Background in Artificial Intelligence

Anqi Wang obtained a Master of Science degree in Artificial Intelligence and Innovation from Carnegie Mellon University, studying from 2018 to 2020. This advanced education provided Wang with a strong foundation in AI technologies and methodologies, enhancing skills applicable to software engineering.

Bachelor's Degree in Electrical and Electronics Engineering

Wang earned a Bachelor's degree in Electrical and Electronics Engineering from Sun Yat-sen University, where studies took place from 2014 to 2018. This undergraduate program equipped Wang with essential knowledge and skills in engineering principles and practices.

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