Maxim Milakov is a Senior DevTech Engineer at NVIDIA with 13 years of experience specializing in machine learning and high-performance GPU computing. He drives GPU adoption by optimizing CUDA and OpenACC applications, collaborates with architecture and software teams to shape next-generation accelerators, and educates developers on parallel computing best practices. His background includes building neural-network solutions and leading data-processing system architecture at CNET Channel, giving him deep domain experience from low-level performance tuning to applied ML systems. Based in Moscow and trained at MSU, he blends research-oriented insight with production-focused engineering, often translating architectural decisions into measurable performance gains. An understated strength is his long-running role as a bridge between developers and hardware architects, influencing design through real-world application feedback.
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