Summary
Connor Tan is a Generative AI Engineering Intern and Computer Engineering student at UIUC with eight years of hands-on experience across AI-focused contracting, IT, and student leadership roles. He has practical experience analyzing AI-generated code, translating model outputs into clear human-readable logic, and building robust test suites to validate solutions. At Outlier and HedgeServ he focused on improving code quality and optimization for AI-driven workflows, while earlier internships honed his fiscal and IT operational skills. Active in campus organizations and tutoring, he combines technical rigor with communication and mentorship in team settings. Based in New York, he brings a pragmatic blend of engineering discipline and product-aware AI tooling experience, often bridging gaps between model outputs and reliable, auditable code.
8 years of coding experience
Bachelor of Science - BS, Computer Engineering, Junior, Bachelor of Science - BS, Computer Engineering, Junior at University of Illinois Urbana-Champaign
High School Diploma, General Studies, High School Diploma, General Studies at Staten Island Tech High School