Xiaoqin Feng
Research Assistant at Mobvoi
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolXiaoqin Feng is an AI engineering specialist with nine years of experience turning research into production-grade multimodal systems, currently advancing context-aware home intelligence at Wyze and researching LLM agents at USC. She has built and scaled LLM-based agent frameworks with tool calling, multi-agent orchestration, safety guardrails, and runtime monitoring, and launched high-fidelity speech-LLM models achieving real-time factors and MOS scores suitable for production. Her expertise spans end-to-end speech-centric pipelines (ASR, TTS, voice cloning, style transfer), large-scale multimodal data engineering handling millions of daily requests and millions of hours of audio, and reliable distributed services with 99%+ uptime. Comfortable bridging academia and industry, she mentors interns and translates prototypes into robust services that drive revenue, while her GitHub ethos—Keep Patience And Passion—reflects a measured, research-informed approach to engineering.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Southern CaliforniaMaster of Science - MS, Computer Software Engineering, Master of Science - MS, Computer Software Engineering at Beijing University of Technology
Github Skills (12)
deep-learning7
transformers6
scale6
nlp6
tensorflow6
bert5
large-language-models5
machine-learning5
transformer-models5
pytorch5
transformer4
language-model3
Programming languages (1)
Github contributions (5)
XqFeng-Josie/Tensorflow
May 2017 - Apr 2022
Tensorflow深度学习框架学习代码
Contributions:9 commits, 1 PR, 7 pushes in 5 years
deep-learningtensorflow
XqFeng-Josie/TextCNN
Jan 2018 - May 2019
Contributions:12 commits, 11 pushes, 1 branch in 1 year 3 months
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