Yifan Peng is a research scientist based in California with nine years of experience focused on multimodal large language models and speech AI. Currently at NVIDIA, he builds multimodal LLMs and full‑duplex speech-to-speech systems, drawing on a PhD in Electrical and Computer Engineering from Carnegie Mellon where he also taught speech recognition courses. His internships at Meta and ASAPP and a prior NVIDIA research internship reflect a consistent track record in voice-preserving translation, speech model compression, and speech-language modeling. Known for combining rigorous academic training (4.0 GPA at CMU, top-ranked undergraduate at Tsinghua) with applied research, he bridges cutting-edge model research and deployable speech systems.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE Electronic Information Science and Technology, Bachelor of Engineering - BE Electronic Information Science and Technology at Tsinghua University
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at Carnegie Mellon University
Contributions:132 pushes, 6 branches in 2 years 2 months
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