Summary
Qingyi Dong is a software engineer with 11 years of experience blending systems, mobile, and ML research, currently building products at Meta from Pittsburgh. A Carnegie Mellon ECE graduate, Qingyi has deep roots in operating systems, Android, graphics, and UX—skills proven by building an Android front-end and REST API for an IoT router and contributing to the RoboTutor learning tablet. Their research at CMU applied spectral convolutional neural networks to acoustic monitoring for metal additive manufacturing, turning unsupervised clustering into a practical in-situ defect detector within nine months. Qingyi pairs product sensibility (internships in product management and MES/UI design) with hands-on engineering across Django, PyTorch, and embedded/mobile stacks, and has also contributed commercial-grade illustrations for a Tencent game—an uncommon mix of technical and visual craft. This combination makes them effective at shipping user-facing systems that are both robust and thoughtfully designed.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Electrical and Computer Engineering, Bachelor of Engineering - BE, Electrical and Computer Engineering at Carnegie Mellon University
Shanghai High School