Quan Le is a software engineer with nine years of practical experience and a recent trajectory through internships to a full-time role at Meta, where he focuses on scalable engineering for ad outcomes. He combines strong academic grounding in programming languages from the University of Cincinnati with hands-on infrastructure and scraping system work, demonstrating comfort across backend systems and flexible tooling. Quan has a habit of turning curiosity into impact—whether mentoring students as a CS TA or building configurable data pipelines in industry settings. Colleagues describe him as lighthearted yet disciplined: he approaches problems methodically while valuing small moments that keep engineering sustainable.
9 years of coding experience
2 years of employment as a software developer
Computer Science Programming Language, Computer Science Programming Language at University of Cincinnati
Contributions:120 commits, 119 pushes, 1 branch in 2 months
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