Sami Hatna

Sami Hatna is a skilled software engineer with a strong background in GPU programming and neural networking. Experience includes an internship at Codeplay Software, where Sami developed a crowd simulation engine using SYCL, optimized GPU kernels, and contributed to Intel’s test suite. As an intern Neural Network Library Engineer, Sami implemented performance optimizations for a GPU accelerated neural networking library and achieved significant performance improvements compared to existing frameworks. Currently serving as a Research Assistant at the Max Planck Institute for Informatics, Sami aids in advancing optical circuit switching technologies and has developed tools for network monitoring and data visualization. Sami is also a Network Production Engineer at Meta and holds a Bachelor's degree in Computer Science from The University of Edinburgh, graduating with First Class honors.