Summary
Ke Ding is a Senior Principal AI Engineer in the San Francisco Bay Area with 10+ years building production-grade ML and multimedia systems across Intel and Marvell. He blends deep expertise in classical ML and modern deep learning (TensorFlow/PyTorch, distributed training, NAS, compression, HPO) with hands-on experience in audio/video/speech stacks, multimedia frameworks (GStreamer, OpenMAX, StageFright) and context-aware sensor middleware. At Intel he has driven ML performance, GenAI platform work for HPU/Xeon/GPU and led cross-functional teams delivering low-power sensing, AR vision pipelines and MLPerf optimizations. Comfortable toggling between research-level model optimization and embedded multimedia integration, he brings rare end-to-end knowledge from silicon platforms to deployed SDKs. An indie-minded engineer (per his GitHub note), he couples systems-level pragmatism with curiosity about emerging LLM/LVM opportunities on hardware.
10 years of coding experience
19 years of employment as a software developer
Bachelor Information Science & Electronic Enginnering, Bachelor Information Science & Electronic Enginnering at Zhejiang University
Master Electronic Engineering, Master Electronic Engineering at Shanghai Jiao Tong University