San Francisco Bay Area
Returning to NVIDIA as Technical Lead for AI Platforms and Solutions Responsible for the technical planning of AI training and inference platforms, supporting AI applications in data centers and enterprises Driven deep integration of GPUs, AI software stacks, and industry solutions Collaborated with global customers, cloud service providers, and partners to support their AI strategies and technology implementation Mentored cross-team engineers to drive the large scale deployment of cutting-edge AI technologies
Joined a cloud computing/AI technology company due to the rapid development of deep learning and AI technologies, focusing on AI system and platform R&D. Responsible for the architecture design and performance optimization of machine learning and deep learning systems Driving the large scale application of GPU acceleration in AI training and inference systems Leading an engineering team to support computer vision, natural language processing, and data intelligence projects Collaborating with product and research teams to implement AI technologies in real world business and customer scenarios
Focusing on GPU applications in high-performance computing (HPC) and large-scale data processing scenarios Responsible for migrating traditional CPU computing tasks to GPU platforms to achieve significant performance improvements Initiated participation in early stage experiments and optimizations of deep learning and neural network computing on GPUs Collaborating with research institutions and universities to explore the application potential of GPUs in machine learning