YZ

Yu’Ang ZHANG

MSc Mechanical Engineering student · Machine Learning Engineer Intern

Singapore

@user_96

0 followers

🎓 Master of Science in Mechanical Engineering at Nanyang Technological University · Graduating 2026

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 Intern
    ByteDance · Singapore
    Sep 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

  • Master of Science in Mechanical Engineering
    Mechanical Engineering · Sep 2024 – Mar 2026
  • Bachelor of Engineering in Mechanical Design and Automation
    Wuhan University
    Mechanical Design and Automation · Sep 2020 – Jun 2024

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.

Tools / apps / platforms

6 to 12 months 6 to 12 months Most of a year behind them.
TikTok
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git The MathWorks MATLAB Dassault Systemes SolidWorks

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
Chinese Speak
Fluent Fluent Comfortable using it for work.
English Speak

Projects

  • Simulations and Analysis on Virus Molecular Physics
    SolidWorks, MATLAB

    Built aerodynamic and simulation models to analyze virus particle transport in cold storage environments.

  • Development of a High-Efficient Robot Arm Control System
    C++

    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 Hull
    SolidWorks

    Designed a superhydrophobic anti-fouling coating model and evaluated drag-reduction and energy-saving performance.

  • Research on Space Robot Navigation with Artificial Potential Fields
    Webots, 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 Field
    A*, 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 Models
    GLM, 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 Vehicles
    CARLA, 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

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