Haifeng Qian
Principal Applied Scientist at NVIDIA
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHaifeng Qian is a Principal Applied Scientist based in San Jose with a PhD in Electrical Engineering and over two decades of experience bridging research and product engineering in AI and electronic design automation. He led applied science teams at AWS AI Labs that developed the LLM-based CodeWhisperer product and authored multiple ACL, ICML, EMNLP and ICLR papers, reflecting a strong record of publishing alongside product delivery. Prior to Amazon and NVIDIA, he spent many years at IBM T. J. Watson Research Center driving advances in adversarial robustness, neural-symbolic methods, and power-aware physical design, earning internal recognition for clocking and power innovations. He combines deep theoretical expertise with hands-on systems experience—shifting from chip-level EDA problems to large-scale LLM services—and is comfortable shipping research into production. Based in the U.S. West Coast, he blends academic rigor with product-minded leadership and a knack for turning complex ML research into deployable developer tools. An interesting thread across his career is the continual pivot between low-level hardware optimization and high-level language models, giving him a unique cross-stack perspective.
4 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at The University of Texas at DallasUniversity of Minnesota Twin CitiesBE, Microelectronics, BE, Microelectronics at Tsinghua University
Github Skills (20)
speech-to-text10
machine-translation10
speech-synthesis10
multimodal10
large-language-models10
nmt10
generative-ai10
asr10
chatbot10
nlp-machine-learning10
speaker-diarization9
text-normalization9
natural-language-processing9
speaker-recognition9
conversational-ai9
Programming languages (1)
Github contributions (5)
amazon-science/incremental-parsing
May 2024 - Sep 2024
Incremental Python parser for constrained generation of code by LLMs.
Contributions:3 pushes in 4 months
haifengqian/neural-belief-reasoner-demo
Sep 2024 - Oct 2024
Contributions:1 push in 16 days
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