Rachata Ausavarungnirun is a Head of AI Architecture with 11 years of experience designing AI infrastructure and system-on-chip (SoC) integrations, currently leading architecture at MangoBoost in the Greater Chicago area. He blends deep academic rigour—a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon—with hands-on industry experience spanning senior engineering and product planning roles. His background includes postdoctoral research at CMU and teaching as an assistant professor, giving him rare expertise in both cutting-edge research and production-grade system design. Early internships at NVIDIA, AMD, Intel, and VMware expose a long-standing focus on hardware-accelerated computing and device-aware AI stacks. Known for translating complex research into pragmatic architectures, he bridges chip-level constraints and scalable AI deployments to accelerate product delivery.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at Carnegie Mellon University
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Rachata Ausavarungnirun - Head Of AI Architecture at MangoBoost