About
Mechanical engineering graduate student focused on machine learning, autonomous vehicles, and intelligent systems. Experience includes model development, deployment, and research projects spanning reinforcement learning, path planning, and safety prediction.
Experience
-
Machine Learning Engineer InternByteDance · SingaporeSep 2025 – Feb 2026
Worked in the Trust & Safety Interaction Safety team, developing and optimizing models for comment moderation and risk prediction. Handled the full machine learning pipeline from data cleaning and feature engineering to deployment and iterative optimization, and created an onboarding handbook to improve team collaboration.
Education
-
2026
Master of Science in Mechanical EngineeringMechanical Engineering · Sep 2024 – Mar 2026
-
2024
Bachelor of Engineering in Mechanical Design and AutomationWuhan UniversityMechanical Design and Automation · Sep 2020 – Jun 2024
Skills
Tools / apps / platforms
Languages
Projects
-
Simulations and Analysis on Virus Molecular PhysicsSolidWorks, MATLAB
Built aerodynamic and simulation models to analyze virus particle transport in cold storage environments.
-
Development of a High-Efficient Robot Arm Control SystemC++
Developed a robotic arm control system with path planning and grasping strategies for sub-5 mm positioning accuracy.
-
Design of Antifouling and Anti-Resistance Materials for HullSolidWorks
Designed a superhydrophobic anti-fouling coating model and evaluated drag-reduction and energy-saving performance.
-
Research on Space Robot Navigation with Artificial Potential FieldsWebots, MATLAB, Simulink, Deep Learning Toolbox
Developed and validated a 3D space-navigation simulation framework combining A* and multi-target artificial potential fields.
-
Path Planning Method Investigation Based on the Combination of A* and Artificial Potential FieldA*, Artificial Potential Field
Improved APF-based path planning by integrating A* to address local minima and support autonomous navigation.
-
Automated Injury Severity Assessment Using Knowledge-Grounded Large Language ModelsGLM, Qwen2
Built a model-assisted system for injury severity assessment using anonymized case data and compared LLM-based approaches.
-
Deep Reinforcement Learning for Decision-Making of Autonomous VehiclesCARLA, DQN, SAC, Matplotlib
Simulated multi-lane highway environments and compared reinforcement learning methods for autonomous driving decision-making with safety-aware lane-change constraints.
🏆 Achievements & awards
-
Bronze Award, National College Students Social Practice and Science Contest on Energy Saving & Emission Reduction (NCSC-ESER) · 2022
-
Outstanding Individual in Scientific & Technological Innovation, Wuhan University · 2021
📚 Publications
-
Improved MTAPF Method for Autonomous Vehicles · 2023
-
Automated Injury Severity Assessment Using Knowledge-Grounded Large Language Models · 2025