Student Assistant

• Developed a digital twin-based virtual environment for robotic simulation and integrated AI recognition models, enhancing system functionality and usability.
• Designed and developed Python and AI recognition teaching materials for undergraduate students across Year 1 to Year 3.
• Administered AIR Labs environments for end users, including system configuration, AI model initializations and training, and hardware/software troubleshooting.
• Partnered with team members and teaching staffs to resolve technical challenges related to digital twins.
• Built a secure SMS login system using Spring Boot and MySQL to support operational readiness.

Research Engineer Internship

• Conducted supportive quantitative work and data processing for ongoing research initiatives.
• Presented research findings at conferences and workshops, effectively communicating valuable technical insights.
• Executed calculations and data processing procedures to establish accurate records with strict adherence to high accuracy and detailed documentation.
• Applied three validation rules (Jack’s rule, Jimmy’s rule, Common Rule) to ensure data labeling consistency and high accuracy.