Summary
Daitao Xing is a Sr. Computer Vision Research Engineer and PhD candidate with 11 years’ experience building high-performance, real-time perception systems for mobile and embedded platforms. He combines deep learning research—published at top AI/CV venues—with hands-on optimization in C++, PyTorch, TensorFlow, ONNX and TensorRT to deliver solutions that run at tens of FPS on CPUs, GPUs and NPUs. His work spans multi-sensor fusion (RGBD, thermal, audio), reinforcement-learned PTZ control, and compact models for on-device segmentation and depth estimation, including a 3.5MB matting model and a ViT-based tracker that improved CPU performance by over 50%. Comfortable bridging academia and product teams, he has a track record of turning simulated-data pipelines and ROS integrations into deployable systems for surveillance and autonomous driving. Based in New York, he focuses on shipping efficient, production-ready ML that balances state-of-the-art accuracy with real-world constraints.
11 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, GPA 3.84, Master's degree, Computer Science, GPA 3.84 at New York University
Computer and Information Sciences and Support Services, Computer and Information Sciences and Support Services at Minzu University of China