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.
5 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 (13)
machine-translation10
text-to-speech10
speech-synthesis10
speech10
automatic-speech-recognition10
asr10
speaker-recognition9
large-language-models9
ai9
generative-ai9
multimodal9
parser4
python3
Programming languages (2)
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
parserpython
haifengqian/vllm-fork
May 2025 - May 2025
A high-throughput and memory-efficient inference and serving engine for LLMs
Contributions:1 push, 1 branch in 1 day
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