Shiming Zhang is a founder and CEO with 11+ years building high-performance, heterogeneous database and analytics systems that fuse CPU, GPU and FPGA with DRAM/NVRAM and RDMA for millisecond-scale insights. He leads BigMath to productize a multimodel converged NewSQL/HTAP engine that simplifies ML and AI application development by encapsulating complex pipelines behind SQL compatibility. Previously a principal architect at Baidu and senior researcher at Noah’s Ark Lab, he has published and shipped real-time stream and in-memory analytics for finance, healthcare and large temporal datasets. His work uniquely blends academic rigor (PhD and postdoc) with hands-on appliance and cloud-native deployments, and includes innovations in NUMA-aware architectures, hardware transaction memory and FPGA-accelerated streaming. Known for turning research prototypes into patented, cost-effective platforms, he focuses on making ML/AI usable for enterprises rather than just inventing new models. Based in Guangdong, China, he also maintains a GitHub presence focused on DistributedSQL and memory-centric multimodel AiSQL systems.
11 years of coding experience
8 years of employment as a software developer
Ludwig Maximilian University of Munich
The University of Hong Kong (HKU)
Master's Degree, Computer Science, Master's Degree, Computer Science at The Graduate University of Chinese Academy of Science (Institute of Software)
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