Summary
Ke Wang is a founder and AI systems engineer with two decades of experience building real-time, secure AI and vision solutions for edge devices, from embedded boards to spatial headsets like Apple Vision Pro and Meta Quest 3. He combines hardware–software co-design and optimized inference pipelines (OpenVINO, TensorRT, GStreamer) across platforms such as Intel iGPU, Jetson, Coral, and Hailo, and has shipped applications in ultrasound AI, multi-stream video analytics, and immersive XR workflows. Ke has led R&D and data-science teams in both academia and industry, holding senior roles at UVA, AI Data Innovations, Acumino, and now Edge Accel LLC, and he actively consults on technical and innovation leadership. A prolific inventor with 15+ patents spanning AI, embedded systems, and medical tech, he pairs deep research roots (PhD-level computational work and postdocs) with practical edge deployment skills. Notably, his background in GPU benchmarking, SIMD/FMA optimization, and real-time rendering informs a rare cross-disciplinary fluency between high-performance graphics, robotics, and sensor-fusion systems. Located in Charlottesville, VA, he is open to senior technical roles that bridge research, productization, and hands-on engineering.
9 years of coding experience
15 years of employment as a software developer
Sensor Fusion Nanodegree, Sensor Fusion Nanodegree at Udacity
PhD Classical Density Functional Theory, PhD Classical Density Functional Theory at Tsinghua University
English, Chinese