AI Framework Architect · Intel
Eikan Wang
Eikan is a principal engineer from Intel and a DL framework architect having full-stack experience in DL, from various AI applications to framework, library, and DL compiler. He is actively optimizing on torch.compile stack for Intel platforms, including optimizing Inductor C++/OpenMP backend for XEON and Intel XPU Backend for Intel GPU on the top of Triton. In addition, He is deeply involved in the PyTorch community and focuses on PyTorch framework feature design, development, and optimization.
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Past appearances
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- Adrian AbeytaStaff Principal ML Engineer Pytorch, RedHat
- Allan LinMachine Learning Engineer, Red Hat
- Andrea FrittoliOpen Source Advocate, IBM
- Angela YiSoftware Engineer, Meta
- Arun SharmaStaff Engineer, Swiggy
- Cam FlanaganSenior AI Product Engineer, NScale
- Carol ChenPrincipal AI Community Architect, Red Hat
- Chris GottbrathTechnical Program Manager, Meta Platforms
- Deep ShahSoftware Engineer, Socratic AI
- Derrick JohnsonStaff Engineer and Developer Advocate, Qualcomm
- Digant DesaiSoftware Engineer, Meta
- Driss GuessousMachine Learning Engineer, Meta
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