Quanlai Li is a founder and software engineer with a decade of experience building scalable data and AI products from startup to enterprise. He led mission-critical infrastructure and ML workflow projects at Uber, Lyft, and Robinhood—most notably architecting a migration of 3,000+ Airflow DAGs and cutting pipeline deploy times from 20 minutes to 1 minute. Now at ChatSlide he’s translating complex data sources into interactive, end-to-end AI-assisted content workflows for corporate training and professional services. He also co-hosts a podcast about building and scaling AI products and has academic ties to UC Berkeley and Singapore Management University. Known for bridging research, developer ergonomics, and production reliability, he combines hands-on engineering with product-led entrepreneurship.
10 years of coding experience
7 years of employment as a software developer
Master of Engineering (M.Eng.) Admissions Interviewer Computer Science, Master of Engineering (M.Eng.) Admissions Interviewer Computer Science at University of California, Berkeley
Visiting Scholar School of Information, Visiting Scholar School of Information at Singapore Management University
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at Zhejiang University
Contributions:5 commits, 4 pushes, 1 branch in 1 year 3 months
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