Summary
Yangjie Qi is a Senior Software Engineer and PhD-trained deep learning hardware specialist with nine years of experience bridging research and production software at institutions like MathWorks and the University of Dayton. He applies structured, macroscale problem decomposition to build and deploy ML/DL models that meet stringent performance and hardware constraints. Comfortable in fast-paced, ambiguous environments, he brings hands-on expertise in modeling, hardware-aware optimization, and end-to-end implementation. Yangjie’s background combines top academic performance (MS and PhD with 4.0 GPAs) and practical engineering at a commercial analytics software company, making him effective at translating research ideas into customer-facing solutions.
9 years of coding experience
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, 3.46, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, 3.46 at Anhui University
Master's degree, Electrical and Electronics Engineering, 4.0, Master's degree, Electrical and Electronics Engineering, 4.0 at University of Dayton