Yefan (USST)

Biography

With a solid background in mechatronics and intelligent manufacturing, I have completed systematic studies from associate to master's degree at Suzhou Industrial Park Institute of Vocational Technology, Jiangsu University Jingjiang College, and University of Shanghai for Science and Technology, majoring in mechatronics, vehicle engineering, and business administration. During the Bosch dual-system apprenticeship program, I mastered a wide range of integrated technologies including lathe, milling, grinding, CNC machining, welding, pneumatics, hydraulics, electrical cabinet wiring, Rexroth PLC, EPLAN circuit design, and CAD mechanical drawing, combining theory with hands-on practice. In my career, I actively participated in lean production and Industry 4.0 upgrade projects for automated production lines, driving process optimization, equipment networking, and intelligent scheduling to support enterprise digital transformation. In software development, I contributed to the design and implementation of an enterprise-level management system based on SpringBoot, MySQL, VUE3, and ElementUI, demonstrating strong capabilities in both backend and frontend development. Additionally, I was involved in a computer vision project using Python and YOLOv5 for automated detection of missing parts on production lines, significantly improving inspection efficiency and accuracy. Through diverse learning and practice, I have accumulated rich interdisciplinary project experience and possess strong engineering, teamwork, and innovation skills, committed to continuous growth in the fields of intelligent manufacturing and digitalization.

News

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Projects

Bosch Apprenticeship
Bosch Dual-System Apprenticeship Program
Participated in the Bosch dual-system apprenticeship program, systematically learning integrated mechatronics technologies such as traditional lathe, milling, grinding, CNC machining, welding, pneumatics, hydraulics, electrical cabinet wiring, Rexroth PLC, EPLAN circuit design, and CAD mechanical drawing. Combined theory with hands-on practice to comprehensively enhance skills in mechanical processing and automation control, laying a solid foundation for future intelligent manufacturing.
Industry 4.0 Project
Lean Production & Industry 4.0 Project for Automated Lines
Participated in lean production and Industry 4.0 upgrade projects for automated production lines, gaining in-depth knowledge of process optimization, data collection and analysis, equipment networking, and intelligent scheduling. Introduced MES systems and smart sensors to improve production efficiency and resource allocation, driving the enterprise's digital and intelligent transformation.
Enterprise Management System
Enterprise Management System (SpringBoot+MySQL+VUE3+ElementUI)
Participated in the development of an enterprise-level management system with front-end and back-end separation based on SpringBoot, MySQL, VUE3, and ElementUI. Responsible for system architecture design, API development, and front-end implementation, realizing functions such as user management, permission allocation, and data visualization. The project focused on efficient interaction and security, enhancing the enterprise's information management capabilities.
Computer Vision for Missing Part Detection
Computer Vision for Missing Part Detection (Python+YOLOv5)
Participated in a computer vision project for missing part detection based on Python and YOLOv5. Responsible for dataset annotation, model training, and deployment, achieving automatic identification and alerting of missing parts on the production line. The project significantly improved inspection efficiency and accuracy, supporting intelligent quality control and production automation.

Work Experience

Equipment Engineer
Bosch Automotive Products (Suzhou) Co., Ltd. Nanjing Branch
1 Runyang Road, Qixia District, Nanjing, Jiangsu Province, China
Responsible for the maintenance, optimization, and technical upgrading of automated production equipment. Actively participated in lean production and Industry 4.0 projects, focusing on process improvement, equipment networking, and digital transformation to enhance manufacturing efficiency and quality.
Equipment Technician
Tesla Gigafactory Shanghai
No. 5000, Jiangshan Road, Pudong New Area, Shanghai, China
Assisted in the daily maintenance and repair of production line equipment. Supported process improvement, equipment calibration, and contributed to efficient and safe manufacturing operations.

Publications

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Educational Experience

2017-2020

Suzhou Industrial Park Institute of Vocational Technology, Associate Degree in Mechatronics

Key Courses:
• Mechanical Drawing and CAD
• Electrical and Electronic Technology Applications
• PLC Technology and Applications
• CNC Programming and Machining
• Hydraulic and Pneumatic Technology
• Sensors and Detection Technology
• • • •

2020-2022

Jiangsu University Jingjiang College, Bachelor's Degree in Vehicle Engineering

Key Courses:
• Automotive Structure
• Automotive Engine Principles
• Fundamentals of Mechanical Design
• Fluid Mechanics
• Automotive Manufacturing Technology
• Finite Element Analysis
• • • •

2025-Now

University of Shanghai for Science and Technology, Master's Degree in Business Administration

Key Courses:
• Management
• Strategic Management
• Financial Management
• Organizational Behavior
• • • •

Contact

wyf18516028919@outlook.com

No. 516, Gongjun Road, Yangpu District, Shanghai