Jin Yao is a software engineer with 7 years of experience specializing in ML model optimization, low-bit quantization, and deployment acceleration. Based in Nanjing, he currently drives research and engineering in LLM quantization, ONNX optimization, and parallelism at Tsingmicro after building medical imaging and TensorRT acceleration expertise at JF Healthcare. His background includes FPGA prototyping and accelerator work from internships at Microsoft and Horizon Robotics, giving him a rare hardware-to-software perspective on performance engineering. He combines algorithmic work on quantization with practical converter and deployment tooling, enabling faster, lower-precision inference in production environments. Notably, he pairs solid academic roots from Beihang University with hands-on contributions across model optimization pipelines rather than just research prototypes.
Contributions:7 releases, 2 reviews, 385 commits in 4 years
pytorchpytorch-modeltorchonnxcaffe
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