PDF is avalible here: weijinqi-cv.pdf.

Jinqi Wei

EDUCATION

Southern University of Science and Technology (SUSTech) Shenzhen, China

Bachelor of Engineering in Robotics Engineering 2018/8 – 2022/7

Advised by Prof. Chaoyang, Song and Study in Bionic Design + Learning Lab.
SUSTech First Prize in Comprehensive Design for the 2021-2022 Academic Year (1/33).
Outstanding Undergraduate Graduation Design of the SUSTech in 2022.

WORK EXPERIENCE

PaXini Technology (Shenzhen) Co., Ltd. Shenzhen, China

Robotics Software Engineer 2023/10 – 2025/7

Developed humanoid & Teleoperation algorithm, data collection and imitation learning.
Mentored junior engineers and contributed to the team’s growth through technical interviews.
PaXini 2024 Starlight Award, 1st. (Recognizing outstanding employees whose perform far beyond their job level)
PaXini 2024 Performance Award, 2nd.
PaXini 2024 Outstanding Employee.

Dorabot Inc. Shenzhen, China

Robotics Software Engineer 2022/8 – 2023/9

Developed industry warehouse (de)palletizing application.

RESEARCH & PROJECT EXPERIENCE

PaXini Technology (Shenzhen) Co., Ltd. Shenzhen, China

Robotics Software Engineer Humanoid Teleoperation 2023.12 – 2025.7

Designed and implemented full-stack teleoperation software framework for whole-body teleoperation. Demonstrated at World Robot Conference 2024.
Built a complete Requirements-Verification-Development-Test-CI/CD process and deployed to a 70-person development team.

Multimodal Data Collection for Imitation Learning 2025.2 – 2025.7

Used multi-model data collection devices and designed a data process pipeline to collect manipulation information for robot imitation learning. Deployed in PaXini Super EID Factory.
Fine-tune(full) openpi models on cloud server and inference locally to control different robots. Applied to the Procter & Gamble (P\&G) production process.

Dorabot Inc. Shenzhen, China

Robotics Software Engineer 2022.7 – 2023.9

Developed large-scale (de)palletizing application using heavy-duty KUKA robots and Mixed Integer Programs (MIPs) for industry automated warehouses, achieving a processing speed of up to 1200 boxes per hour per single robot.
Maintained a (de)palletizing showcase and algorithm verification platform using Yaskawa robots with containerized CI/CD, enabling 24/7 continuous operation.

Ningquan Science and Technology Inc. & SUSTech. Comprehensive Design Shenzhen, China

Algorithm Engineer Design Science for Reproducible and Shareable Robot Learning 2021.9 – 2022.6

Proposed a novel method for reproducible and shareable robot learning by focusing on rich and intuitive representation, processing, and storage of manipulation data. This was achieved through the DeepClaw system that features a unified data storage format, easily accessible web-based software, and open-source, low-cost hardware for teleoperation and data collection.
Published papers on method and tools from this project in ICARM 2024 and Materials & Design. And used in ME336 Collaborative Robot Learning from 2022 to 2024.

BionicDL Lab, SUSTech Shenzhen, China

Algorithm Engineer 2021.1 – 2021.6

Course Project (ME336 Collaborative Robot Learning). [GitHub Repo]
Designed and implemented an automated robotic waste sorting line with visual recognition. Improved sorting efficiency with a throw method rather than a traditional pick-and-place approach.

DJI RoboMaster University Championship Shenzhen, China

Electronics Hardware Team Lead 2019.6 – 2020.10

Developed robot main control board, supercapacitors and power control modules for the whole robot control and communication.
RoboMaster2020 University Championship National Third Prize

Mechanical Team Member & Financial Manager 2018.10 – 2019.5

Contributed to the structural design of the infantry robot (wheeled robot that fires high-speed spherical projectiles).
Responsible for full-season budget (Over 200,000 CNY / 30,000 USD) planning and management.
RoboMaster2019 South China Regional Competition, Third Prize

OPEN SOURCE CONTRIBUTIONS

Robook (Robotics Handbook)

Founder, Maintainer 2023.4 – present

A robotics handbook for beginners. Contents include introductions to robotics, robotics competitions, and undergraduate research opportunities. Achieved 40000+ views and comments.

ROS2 Chinese Documentation

Maintainer 2024.3 – present

High-quality, manually proofread ROS2 Chinese documents with annotations.

Others

Developed Python libraries used in robotics software development released on GitHub
Contributed to robotics communities such as ROS2, IsaacLab.

PUBLICATION

T. Wu, Y. Dong, Y. Xiao, J. Wei, F. Wan and C. Song, “Vision-based, Low-cost, Soft Robotic Tongs for Shareable and Reproducible Tactile Learning”, 2024 International Conference on Advanced Robotics and Mechatronics (ICARM 2024).
T. Wu, Y. Dong, X. Liu, X. Han, Y. Xiao, J. Wei, F. Wan, C. Song, “ Vision-based tactile intelligence with soft robotic metamaterial”, Materials & Design.

SKILLSET

Robotics & Systems

Robotics platforms: Franka, UR, KUKA etc.
Operating systems: Linux, Mac, Windows.
Systems & tools: ROS2. Server, Website and Web service maintenance.

Software & Programming

Languages: Python, C/C++, JS, Matlab.
Tools: Docker, Git-based project management.

Mechanical & Electrical Design

SolidWorks, AutoCAD. 3D Printing. Altium Designer, EasyEDA.