Summary
Quan Mai is a data scientist with eight years of experience blending deep learning, NLP, and high-performance computing, currently applying those skills at Walmart after a PhD in Computer Engineering from the University of Arkansas. His background spans academic research, supercomputing architecture during an Intel internship, and hands-on transistor-level SRAM design at eSilicon, giving him rare end-to-end expertise from hardware to large-scale ML models. He excels at translating research ideas into production-ready solutions and optimizing compute-intensive pipelines for real-world systems. Based in Arkansas, he brings a practical, research-driven mindset and a playful sense of humor—his GitHub quip credits his dog for the code—reflecting a collaborative, curious approach to engineering.
7 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Danang University of Science and Technology
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at University of Arkansas