CV

This is my academic and professional curriculum vitae.

Contact Information

Name Gu Qibin
Professional Title Master Student in Robotics @ NUS
Email e1554167@u.nus.edu
Phone +86 13335718170
Website guqibin.github.io

Professional Summary

Master’s student in Robotics at NUS specializing in Robot Learning, Computer Perception, and Backend Development.

Experience

  • 2024 - 2025

    Hangzhou, China

    Assistant Researcher (Intern)
    Zhejiang Hospital
    • Developed a CNN-based diagnostic model to classify severe pneumonia types from X-ray/CT imaging.
    • Validated model accuracy and reliability under clinical conditions, facilitating early diagnosis.
  • 2023 - 2023

    Hangzhou, China

    Software Developer Intern
    Zhejiang DataQin Technology Co., LTD
    • Developed backend systems for a banking platform using Java SpringBoot.
    • Optimized database performance by 30% using MyBatis and Redis caching.
    • Implemented secure file management with OCR technology.

Education

  • 2025 - Present

    Singapore

    Master of Science
    National University of Singapore (NUS)
    Robotics
    • Core Courses: Robot Vision and AI, Swarm Robotics, Machine Learning in Robotics.
    • Projects: Language-Guided Navigation via 3D Scene Graphs.
  • 2021 - 2025

    Suzhou, China

    Bachelor of Science
    University of Liverpool / XJTLU
    Computer Science (Artificial Intelligence)
    • Grade: First Class Degree (Top 5%, GPA 82/100).
    • Awards: University Academic Excellence Award (2022, 2023).

Projects

  • Hybrid RL for Cluttered Manipulation
    • Designed a hierarchical framework decoupling strategic pushing (PPO) from deterministic grasping.
    • Achieved 14% performance gain over baselines in PyBullet simulation.
  • Sim-to-Real 6-DoF Grasping
    • Engineered a robust grasping pipeline bridging PyBullet simulation and real-world xArm6 robot.
    • Developed a dual-stage network (PointNet++) for 6-DoF pose estimation.

Skills

Programming: Python, Java (SpringBoot), C++, SQL, JavaScript
Robotics: ROS 2 (Humble), PyBullet, Gazebo, MoveIt!, Open3D
AI & Deep Learning: PyTorch, Transformers (ViT), PPO
Tools: Git, Docker, Linux, LaTeX, MATLAB