Bingxi Li is a Staff Algorithm Engineer with 11 years of experience specializing in computer vision, image processing, and high-performance parallel computing, currently based in Davis, CA. At KLA he progressed from Algorithm Engineer to Staff, delivering production-ready vision algorithms for e-beam systems while previously optimizing CNN inference kernels at NVIDIA with notable memory and runtime improvements. He combines rigorous academic training—dual M.S. degrees in Computational Materials Science and Computer Science from UC Davis and top undergraduate performance—with practical HPC and machine-learning pipeline experience from national lab and industry projects. Comfortable moving between research and productization, he has a track record of accelerating algorithms via low-level CUDA optimization and scalable data-reduction techniques that enabled large-scale analysis. Colleagues describe him as a technically deep problem-solver who consistently bridges numerical methods and systems engineering to drive measurable performance gains.
10 years of coding experience
3 years of employment as a software developer
Master of Science (M.S.), Computational Materials Science, 3.89/4.00, Master of Science (M.S.), Computational Materials Science, 3.89/4.00 at University of California, Davis
Bachelor of Applied Science (B.A.Sc.), Materials Science, 3.85/4.00, Bachelor of Applied Science (B.A.Sc.), Materials Science, 3.85/4.00 at Northwestern Polytechnic University (CN)
National Excellent Exchange Undergraduate, Computational Materials Science, 4.0, National Excellent Exchange Undergraduate, Computational Materials Science, 4.0 at Stony Brook University
Contributions:1 release, 30 commits, 29 pushes in 1 day
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