Summary
Fangzhou Liu is a software engineer with a decade of experience specializing in compiler optimizations and performance analysis for graphics GPUs, currently working on Adreno Snapdragon GPU heuristics at Qualcomm. He is a PhD candidate in Computer Science at the University of Rochester with a background in web and iOS development and a track record of internships at industry leaders including Qualcomm, Alibaba Cloud, and ByteDance. Fangzhou blends systems research sensibilities with production-grade engineering, focusing on GL/VK graphics API performance and compiler-driven optimizations. His international education—first-class honors from Queen Mary and studies in China—adds a cross-cultural perspective to collaborative engineering. Beyond chip-level performance work, he has balanced research ambitions (seeking past summer research roles) with hands-on product internships, indicating both theoretical depth and practical delivery. Based in California, he brings a researcher’s curiosity to real-world performance problems, often translating academic ideas into measurable system gains.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Rochester
Bachelor’s Degree, Telecommunications with Management, First-Class Honor, Bachelor’s Degree, Telecommunications with Management, First-Class Honor at Queen Mary University of London
Bachelor’s Degree, Telecommunications with Management, 3.7, Bachelor’s Degree, Telecommunications with Management, 3.7 at 北京邮电大学
Chinese, English