Wasi Ahmad is a Senior Research Scientist with a decade of experience advancing generative AI and large language models, currently leading applied research at NVIDIA on code generation, mathematical reasoning, long-context understanding, and model robustness. He previously helped build ML-powered developer productivity features at AWS’s Amazon Q and has a strong academic foundation from a PhD at UCLA and an MS from University of Virginia. His background spans industrial research internships at Meta, Microsoft, Yahoo, and Walmart Global Tech, giving him a rare blend of production-oriented engineering and deep NLP research. Known for turning foundational model innovations into practical product improvements, he is based in California and brings both teaching experience and real-world systems engineering to complex AI challenges.
Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].
Contributions:32 commits, 1 PR, 25 pushes in 11 months
pytorchnlpnaaclunderstandingdeep-learning
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