Summary
Shail Dave is a senior AR/VR systems modeling engineer with 10 years of experience architecting next-generation XR, AI, and multimedia computing systems across academia and industry. Currently at Qualcomm he models future XR SoCs that span smart glasses to educational and assistive platforms, bringing hardware/software codesign expertise honed during a PhD at ASU. His research built programmable dataflow accelerators and tools for efficiently accelerating dense and sparse ML models, with publications in top venues such as ASPLOS and DAC. He has led SRC and NSF/Intel projects on explainable, sustainable AI hardware/software co-design and developed a Design Space Description Language to make architectural exploration fast, reusable, and explainable. Early-career roles in ASIC verification and FPGA control systems give him practical system-level grounding alongside research rigor. Based in San Diego, he blends deep microarchitecture insight with hands-on modeling to translate cutting-edge accelerator concepts into realistic XR system designs.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Engineering, Doctor of Philosophy (Ph.D.) Computer Engineering at Arizona State University
Bachelor's Degree Electronics & Communication Engineering, Bachelor's Degree Electronics & Communication Engineering at L.D. College of Engineering