ABOUT
I'm currently a graduate student studying Robotics at Stanford University. My experience is focused on autonomous driving technology including ROS, EKF SLAM, Perception, and motion planning and control. I’m happy to apply the experience and skills I’ve obtained in my past experience in order to manage projects through creative problem solving and innovative thinking. I possess a strong eye for detail and can thrive independently as well as in a team environment.
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I'm actively seeking a full-time job related to Robotics, self-driving cars, and so on. Please feel free to explore my work and contact me for potential opportunities.
EDUCATION BACKGROUND
STANFORD UNIVERSITY,
UNITED STATES
Sept 2019 - June 2021 (expected)
Master of Science in Mechanical Engineering
Depth in Robotics
GPA 3.9/4.0
RMIT UNIVERSITY (JOINT PROGRAM), AUSTRALIA
July 2017 - June 2019
Bachelor of Mechanical Engineering.
GPA 4.0/4.0
SHANDONG UNIVERSITY, CHINA
Sept 2015 - June 2017
Bachelor of Mechanical Engineering.
GPA 90/100
EXPERIENCE
June 2020 - Sept 2020
SYSTEM ENGINEER INTERNÂ
FLEXIV ROBOTICS, INC
Work in the robotics systems team to develop real-time motion control applications (C++ and C)
Analyses existing systems and implement improvements to boost system performance
Facilitate the development and conception of new technologies
Actively collaborate with hardware engineers to optimize the design.
January 2023 - June 2025
SOFTWARE ENGINEER INTERN
SHANGHAI QIYUAN TECHNOLOGY CO., LTD.
Participate in the development and maintenance of the Intellectual Property Management System developed for Power Construction Corporation of China
Participate in front-end development and maintenance of the system
Technical keywords: JavaScript, CSS, React, Node.js
Dec 2017 - Feb 2018
MECHANICAL ENGINEER INTERN
CHINA NATIONAL HEAVY DUTY TRUCK GROUP CO.,LTD
Participate in designing the mechanical component of chassis, electronic control system, and vehicle network using AUTO CAD drawing.
Participate in developing the control algorithms for the electronic control system.
Arrange logistics of newly arrived parts as well as the disposition of removed/used parts
Professional status reporting using MS Office tools.
SELECTED PROJECTS
NEAR-ACCIDENT CAR-DRIVING
CS229 Project.
Using hierarchical RL and IL to handle the near-accident car driving scenario
take the approach of implementing deep Conditional imitation Imitation Learning (CoIL) to obtain the driver agent model using data generated by predefined dominant control law
Reinforcement Learning (RL) is applied to find the policy in high-risk scenarios via switching the driving agent model considering both efficiency and safety.
Technical keywords: RL, IL, CoIL, PPO, CARLO, Pytorch, TensorFlow
AUTONOMOUS FOOD DELIVERY PROJECT
AA274A Project
Using SLAM to detect and explore the 3D model environment and store the map and food position. Autonomously deliver the food to the given position, mainly in charge of the motion planning, EKF SLAM, and shortest path algorithm.
EKF SLAM was used for map exploration and localization. A* method is used for motion planning. Tensorflow is used for perception (food recognition and Stop sign detection).
Technical keywords: ROS, EKF SLAM, CNN, A*, python, Tensor Flow
PHOTO SHARING APP
CS142 Project
Implement a full-stack photo sharing web application where users can register an account, post photos, check other users’ photos, and post comments. Like a web version of Instagram.
Using React.js for front-end view, Express.js for the controller, and MongoDB for the data storage system.
Techincal keywords: JavaScript, Node.js, React, HTML, CSS, MongoDB
PROFICIENCIES
PYTHON
C++
ROS
TENSORFLOW
REINFORCEMENT LEARNING
MACHINE LEARNING
JAVA
SLAM
VEHICLE DYNAMICS & CONTROL
JAVASCRIPT
MATLAB
NODE.JS
OPTIMAL CONTROL
CSS
IMITATION LEARNING
HONORS AND AWARDS
THE INSTITUTION OF MECHANICAL ENGINEERS FREDERIC BARNES WALDRON BEST STUDENT AWARD
Jun 2019
THE ROBERT W. DORRAT MEMORIAL PRIZE
Mar 2019
CHINA ROBOTICS MATCH SECOND PRIZE
May 2017
BACHELOR OF ENGINEERING (HONOURS) HONOURS FIRSTÂ CLASS
July 2019
"It does not matter how slowly you go as long as you do not stop"