Vishal Kasliwal is an engineer with 11 years of deep expertise in hardware-software co-design, specializing in pre-silicon performance optimization for distributed deep learning and HPC systems. He has driven low-level kernel and host-code development across diverse accelerators (Intel Xe GPUs, Xeon Phi, DPUs, AMD CDNA) and has a track record of squeezing performance via assembly-level rewrites, architectural tweaks, and runtime profiling. Vishal has moved between industry-leading roles—from shaping Intel’s Level Zero driver and Xe-HPC compute strategy to advising product and roadmap decisions at Luminous Computing and accelerating kernels at AMD—bridging prototype architecture to production software. His background in computational astrophysics and early work on Xeon-Phi simulations gives him a rare combination of scientific modeling experience and systems-level optimization skills. Based in San Jose, he pairs fluency in C/C++, Python and Julia with practical experience across ML frameworks and dataflow languages to deliver measurable end-to-end performance gains. An astronomy enthusiast outside work, he brings a researcher's curiosity to complex system bottlenecks.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Astrophysics, Doctor of Philosophy - PhD Astrophysics at Drexel University
B.S. Mathematics & Physics, B.S. Mathematics & Physics at University of Richmond
Postdoctoral Fellow Astrophysics & Cosmology, Postdoctoral Fellow Astrophysics & Cosmology at Princeton University
ICSE General Schooling, ICSE General Schooling at Campion School
Master of Science - MS Physics, Master of Science - MS Physics at Virginia Commonwealth University
Posdoctoral Fellow Astrophysics & Cosmology, Posdoctoral Fellow Astrophysics & Cosmology at University of Pennsylvania
HSC Physical Sciences, HSC Physical Sciences at JAI HIND COLLEGE, MUMBAI
Contributions:45 pushes, 1 branch in 8 years 1 month
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