EdTech platform for after-school services, precision teaching, and homework automation
广东鲲鹏教育科技 operates a Java microservices stack (Spring Boot, Spring Cloud, Dubbo, Seata, Nacos) paired with computer vision (OpenCV, YOLO) and ML frameworks (TensorFlow, PyTorch), suggesting active development in image recognition and intelligent grading. The project mix—paper work recognition, homework automation, precision teaching, big-data analytics—indicates a platform designed to reduce teacher workload at the intersection of after-school services and classroom intelligence. Engineering-to-total hiring ratio skews heavily toward development, with mid and senior-level roles, implying established product iteration rather than startup building.
广东鲲鹏教育科技 is an education technology company based in Foshan, Guangdong, serving the after-school and in-classroom teaching segments in China. The platform architecture spans after-school service management, precision teaching workflows, and automated grading systems powered by image recognition and machine learning. Current focus areas include big-data analytics for student outcomes and mini-program delivery. The company operates with minimal recent hiring velocity and a distributed team across engineering, research, marketing, and operations.
Java microservices (Spring Boot, Spring Cloud, Dubbo), data platforms (SQL Server, Oracle, MySQL, Redis), and ML/CV frameworks (TensorFlow, PyTorch, OpenCV, YOLO). Testing infrastructure includes Selenium, Appium, JMeter, LoadRunner, and Robot Framework.
Active projects include after-school service management, precision teaching systems, intelligent homework grading with paper image recognition, big-data analytics, and mini-program delivery. All projects target K-12 education and teacher efficiency.
Foshan (佛山), Guangdong Province, China. All hiring is based in mainland China.