Qingyuan Zhu
Undergraduate Research Assistant
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolQingyuan Zhu is a Carnegie Mellon senior studying Computer Science (with a systems and ML focus) and Electrical & Computer Engineering, bringing eight years of hands-on experience across systems programming, distributed systems, and web/backend development. He combines academic rigor with practical engineering—designing parallel algorithms, implementing distributed consensus protocols, and building responsive React Native interfaces for teleoperated robots in the COSTAR project. As an undergraduate researcher and teaching assistant, he’s comfortable explaining low-level concepts like x86 and memory hierarchies while also prototyping end-to-end applications that prioritize usability. He’s conducted systematic reviews on generative AI literacy, demonstrating a habit of rigorous literature synthesis alongside software work. Based in Pittsburgh, he’s actively seeking internships and full-time roles where he can bridge theory and real-world impact, particularly at the intersection of robotics, distributed systems, and human-centered interfaces.
8 years of coding experience
High School Diploma, High School Diploma at Nanjing Foreign Language SchoolBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Carnegie Mellon University
Github Skills (6)
noise3
robustness2
deep-learning1
tensorflow1
deep-neural-networks1
neural-network1
Programming languages (3)
Github contributions (5)
zqy-nku/Submission-to-Cloudflare-Full-Stack-Application
Apr 2020 - Apr 2020
This is My Submission to Cloudflare Workers Internship Application: Full-Stack
Contributions:32 pushes, 1 branch in 1 day
honocloudflare-r2internshipcloudflarefull-stack
zqy-nku/Noise-Robustness-of-DNN
Dec 2019 - Dec 2019
Noise Robustness of Deep Neural Networks
Contributions:20 pushes, 1 branch in 1 day
robustnessdeep-learningneural-networksneural-networkdeep-neural-networks
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.