Richard Meng
About Richard Meng
Richard Meng is the Co-Founder and CEO of Roe AI, where he has been working since 2024. He previously held various engineering roles at LinkedIn and Snowflake, contributing significantly to skill assessments and text-to-SQL technologies.
Work at Roe AI
Richard Meng serves as Co-Founder and CEO at Roe AI, a position he has held since 2024. His leadership focuses on driving the company's vision and strategy in the artificial intelligence sector. Based in San Francisco, California, he is involved in various initiatives aimed at enhancing AI applications and solutions.
Experience at LinkedIn
Richard Meng has extensive experience at LinkedIn, where he held multiple roles from 2017 to 2022. He started as a Software Engineering Intern for three months in 2017, then progressed to Software Engineer from 2018 to 2020, and later became a Senior Software Engineer from 2020 to 2022. He also served as a Staff Software Engineer for seven months in 2022. During his tenure, he led the Skill Assessments product, which received recognition in Microsoft's quarterly earnings report.
Background in Education
Richard Meng studied at the University of California, Berkeley, where he earned a Bachelor's degree in Computer Science and Statistics from 2014 to 2018. He also worked as a Research Assistant at the Haas School of Business from 2016 to 2017, contributing to projects led by Professor Abhishek Nagaraj. His academic background laid a strong foundation for his career in technology and data analysis.
Contributions to Snowflake
At Snowflake, Richard Meng worked as a Senior Software Engineer from 2022 to 2024. He played a significant role in the development of Snowflake Copilot, a project designed to create an affordable and accurate text-to-SQL chat copilot for enterprise customers. His contributions were pivotal in enhancing the functionality and accessibility of Snowflake's offerings.
Speaking Engagements
Richard Meng spoke at the Snowflake Summit 2023, where he presented on the topic 'Unleashing the Power of LLMs'. This engagement highlighted his expertise in large language models and their applications in the field of data management and analytics.