Yongpeng Zhang is a computational scientist with nine years of professional experience and a deep engineering foundation spanning C/C++, Python, Java, Perl, assembly, VHDL, and shell scripting. He has repeatedly applied high-performance and data-parallel techniques across industry and research—working at Stone Ridge Technology, leading a startup venture, and developing GPU-accelerated text mining and streaming models as an academic researcher. His background combines ASIC and embedded systems design with software and tooling for GPU clusters, reflecting a rare cross-domain fluency from hardware to high-level algorithms. Educated with a Ph.D. in Computer Science and an M.S. in Electrical Engineering, he brings rigorous research instincts to production problems and a track record of shipping low-level, performance-critical systems. Based in Beijing, he favors pragmatic, performance-first solutions and has experience managing technical teams and projects in both startup and corporate settings. An understated strength is his ability to bridge research prototype work with deployable engineering, turning experimental parallel algorithms into practical systems.
8 years of coding experience
13 years of employment as a software developer
MS, Electrical Engineering, MS, Electrical Engineering at Drexel University
Ph.D, Computer Science, Ph.D, Computer Science at North Carolina State University
B.E, Electrical Engineering (Overal Grades, B.E, Electrical Engineering (Overal Grades at Beijing Univ. of Aeronautics & Astronautics (Beihang Univ
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