Naveen Himthani is a CUDA math libraries software developer with 11 years of experience, currently writing high-performance image processing and computer vision code for NVIDIA’s Performance Primitives in Sunnyvale. He holds a PhD in Computational Science, Engineering and Mathematics from UT Austin and a bachelor’s in Aerospace Engineering from IIT Bombay, blending rigorous academic research with production-grade GPU engineering. His background includes developing and optimizing GPU kernels for image quality metrics during an NVIDIA internship and research roles that span simulation of complex physical systems from satellites to tumor growth models. Comfortable across MATLAB, C, CUDA and real-time simulation toolchains, he brings a systems-level view of performance and numerical fidelity to library development. Colleagues know him for a blend of deep technical focus and practical delivery, plus an unexpected competitive streak as a fast bowler and a passion for cricket and music.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Science, Engineering and Mathematics, Doctor of Philosophy (Ph.D.), Computational Science, Engineering and Mathematics at The University of Texas at Austin
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