Shao Jie Yan is a master's student in mechanical engineering at Texas A&M University with a GPA of 3.57, after completing a bachelor's at Xi'an Jiaotong University. Yan has relevant internship and research experience in automation and vehicle control, alongside technical skills in software and engineering design tools. Honors include multiple academic awards and recognition in innovation competitions.

1. Shaojie Yan (979) 4220526 | sj_v999@tamu.edu
614 Holleman Drive East, Unit 372-D
College Station, TX 77840
Education
❖ Texas A&M University, college station, Texas, United States 08/2018 to now
Major: Mechanical Engineering GPA: 3.57/4.0 Degree: Master of Science
Related Courses: Convex Optimization, Engineering Dynamics, Modeling and Analysis of Mechanical Sys, Multi
control Sys Design, Robust & Optimal Control, Design of nonlinear control sys, etc.
❖ Xi’an Jiaotong University, Shaanxi province, China 09/2013 to 06/2017
Major: Mechanical Engineering GPA: 3.35/4.0 Degree: Bachelor of Engineering
Related Courses: Theoretical Mechanics, Digital Control Technology, Mechanical Automation Devices and
Applications, Mechanical Control System, Microcomputer Principles, Troubleshooting, Probability, etc.
Internship
❖ Practice Engineer, China Research Center, Lift Innovation Universal LLC. 11/2017 to 06/2018
• Involved in project of developing the IntelliFex, a vertical pumping unit
• Helped assembling the electrical cabinet and drawing corresponding sketches using CAD and SOLIDWORKS
❖ Engineer Assistant, YTO Group Corporation, Luoyang 06/2016 to 08/2016
• Helped manufacturing transmission shaft using computer numerical control machine tools at assembly plant
• Strengthened my understanding of autonomy, improved my ability of operating machine tools and learned
important parts processing techniques such as connecting rod gearbox
Related Experience
❖ Assistant, Research on Autonomous Vehicle Control, Supervised by Swaroop Darbha 06/2019 to now
• Participate in field testing for lateral control, simulate platooning safety in various scenarios.
• Qualifications include Python programing and Knowledge of MATLAB control package
❖ Student Worker, New Sensor Module Box, Supervised by Tony Hsieh at TAMU 06/2019 to 08/2019
• Succeeded in designing PCB board, programing on PLC and assembling parts compactly
• Enhanced my proficiency in EAGLE. Upgraded my knowledge on Electrical Engineering
❖ Engineer Leader, Automatic Guided Vehicle Physical Model, XJTU 03/2016 to 06/2016
• Helped physical model get out of labyrinth by applying infrared distance sensors and feedback control
• Utilized my skills of communication, analytical, problems solving and time management
❖ Designer, Packaging Machine Design for Electronic Commerce, XJTU 03/2016 to 05/2016
• Responsible for machine principle design, 3D model drawing and parts processing
• Deepened my practical skills on parts manufacturing and improved my programming ability
❖ Engineer Leader, Flexible Manufacturing System, XJTU 03/2016 to 06/2016
• Developed C++ programs using Genetic Algorithm to obtain Gantt chart, designed a software with
compact GUI to reach and manipulate database
• Improved my skills of coding, debugging and ability to collaborate with people in different functions
Skills
• AutoCAD • SOLIDWORKS • MATLAB • Simulink • Ansys • Eagle • Arduino IDE
• PLC • FANUC • LabView • Python • C/C++ • C# •Mandarin
Honors
• Excellent Student Honor, Xi’an Jiaotong University 10/2014 - 10/2016
• The Second Prize, the 7th National College Mechanical Innovation Competition, China 05/2016
• The Third Prize, School Mathematic Modeling Contest 05/2015