Matthew Vu
Work
- Debugged and extracted a 10K+ entry animation dataset using Python, reducing asset integration time by 25%
- Prototyped gameplay features in Unreal Engine using C++, gaining engine-level systems experience
- Conducted system integration and testing for the project presentation at Avatar XPrize 2022
- Built registration workflow, leading to 50% faster component integration into the main project
- Developed facial recognition to improve detection accuracy and responsiveness by 20%
- Implemented near/far hand interaction features for the system, optimizing performance by 30%
- Collaborated with medical and technical stakeholders for iterative design improvements