Xingyu Chen
Machine Learning Engineer at Huawei
Shenzhen, Guangdong Province, China
Summary
🤩
Rockstar🎓
Top SchoolXingyu Chen is a machine learning engineer with eight years of experience building AI systems across industry and research, currently focused on media AI and deployment at Huawei's Central Media Technology Institute. He holds an MS in Artificial Intelligence from Carnegie Mellon and a CS bachelor's from South China University of Technology, and has applied his pattern-recognition expertise to audio/video emotion recognition, age detection, and sound event detection in both Tencent and Yuanfudao internships. His background blends practical cloud-facing engineering for Tencent Cloud Finance with academic work on speech and video emotion models and adversarial reinforcement learning, a combination that helps him bridge research prototypes and production-ready services. Notably, he led a multi-modal e-mental health project to a national gold prize, signaling strong product-oriented research and team leadership in competitive settings.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, 3.43/4.0, Bachelor's degree, Computer Science, 3.43/4.0 at University of California, BerkeleyHigh School, High School at Shenzhen Experimental High SchoolBachelor's degree, Computer Science, 3.63/4.0, Bachelor's degree, Computer Science, 3.63/4.0 at South China University of TechnologyMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Carnegie Mellon University
English
Github Skills (26)
nlp9
speech-recognition8
python8
deep-learning8
natural-language-processing8
machine-learning8
pytorch8
face8
tencent7
multimodal7
tensorflow7
bert7
foundation-models7
transformer7
chatbot6
Programming languages (1)
Github contributions (5)
Slinene/SDD-FIQA
Mar 2021 - Jun 2021
Contributions:4 commits, 3 pushes, 1 branch in 2 months
Slinene/Semi-supervised-learning
Feb 2018 - Feb 2018
Contributions:6 pushes, 1 branch in 1 day
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