Haobo (Louie) Zhang

Software Development Engineer Intern at Health Claw

Developed an enterprise-grade order management platform using Spring Boot, Spring Cloud, Eureka and Feign to enhance microservices communication. Optimized MySQL query performance by refining indexing strategy, reducing query time significantly. Designed and implemented a secure permission management module with dynamic role-based access control and JWT authentication. Integrated centralized logging using ELK Stack for real-time monitoring. Established automated CI/CD pipelines with Docker, Jenkins, and AWS to improve system deployment processes and stability. Led backend infrastructure design collaborating with cross-functional teams ensuring system scalability and security.

Research Engineer Intern at Changjiafengxing Intelligent Technology Co., Ltd

Developed a vehicle-infrastructure cooperative 3D object detection model addressing communication latency and sensor asynchrony, improving 3D AP performance by ~2.5% on DAIR-V2X-C dataset. Built a multi-modal collaborative perception system integrating camera and LiDAR data, enhancing autonomous driving perception accuracy by 8%. Validated state-of-the-art academic paper results and collaborated with domain experts to direct future research efforts.

Software Development Engineer Intern at Healthy Claws

Developed a robust vehicle-infrastructure cooperative 3D object detection model addressing communication latency and sensor synchrony, improving 3D AP and BEV AP by ~2.5% at 500ms latency on AIR-V2X-C dataset. Created a multi-modal collaborative perception system combining camera and LiDAR data, enhancing performance by 8%. Collaborated with scientists and domain experts to guide future research and experimental directions.

Research Engineer Intern at Changjia Fengxing Intelligent Technology Co., Ltd

Contributed to advanced perception models for autonomous driving integrating multi-sensor data. Developed innovative architectures addressing latency and synchronization issues. Worked closely with domain experts to influence research focus and direction.

Management Information System Analyst at Edith-Min International Inc.

Developed enterprise order management platform with microservices using Spring Cloud and Eureka, optimized MySQL query performance reducing response times significantly. Implemented permission management with Spring Security and JWT. Built log management with ELK stack for centralized logging. Established CI/CD pipelines with Docker, AWS, and Jenkins. Designed large-scale distributed systems and integrated vendor operational databases, SAP EDI integrations, and built forecasting data pipelines using K-Means and ARIMA. Developed mobile apps with React Native, optimized models with YOLOv8 and TensorRT, and integrated Firebase services for data synchronization. Designed distributed cloud systems on AWS EC2, optimized JVM memory management, and ensured high scalability with AWS Load Balancer and Auto Scaling. Improved caching using Redis and conducted high-concurrency stress testing with JMeter.

Software Development Engineer Intern at Healthy Claws

Contributed to the development of a microservices-based order management platform using Spring Cloud, Eureka for service discovery, Feign for remote calls, and Spring Data JPA for persistence. Implemented a dynamic permission management module with front-end role/permission display and back-end authentication using Spring Security and JWT, with data encryption. Built a Logback-based logging module and integrated with the ELK stack for centralized monitoring. Established a CI/CD pipeline using Docker, AWS, and Jenkins to enable automated builds and deployments, improving release stability and service availability. Enhanced caching with Redis and conducted high-concurrency testing with JMeter to ensure performance and scalability. Optimized JVM memory management and designed for high availability in a microservices environment.

Research Engineer Intern at Changjia Fengxing Intelligent Technology Co., Ltd

Developed a vehicle-infrastructure cooperative 3D object detection model to address communication latency and sensor synchrony. Achieved ~2.5% improvement in 3D AP and BEV AP at 500ms latency over FFNet on AIR-V2X-C dataset. Built a multi-modal collaborative perception system by integrating camera and LiDAR data, achieving ~8% improvement over the original vision-based system. Collaborated with scientists to shape future research directions and experimental focus.