Summary
Xiao Zhou is a Computer Vision Engineer with 11 years of experience building and deploying deep learning solutions across retail, automotive, and large-scale identity systems. He has led teams and shipped production-grade systems including real-time vehicle recognition, license plate and OCR pipelines, and a face verification service that matches against a 100M+ population in under one second. At Intel and Caper he focused on optimizing models for performance and accuracy for vertical markets, while earlier roles span AI framework integration, full‑stack development, and applied bioinformatics research. Comfortable from prototype to Dockerized API deployment, he blends research-level model design (object detection, face detection, GANs) with pragmatic engineering for latency- and scale-sensitive applications. Based in Shanghai and actively seeking new opportunities, he brings both leadership experience and hands-on expertise in making CV models work reliably in production.
11 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at East China University of Science and Technology
University of Missouri
English, Chinese