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@chenyang78
Yang Chen chenyang78

Meta Bellevue, WA

@ajtulloch
Andrew Tulloch ajtulloch

@openai San Francisco

@xw285cornell
Xiaodong Wang xw285cornell
I'm a research scientist at Facebook, working on hardware efficiency for machine learning.

Facebook Inc. Menlo Park, CA

@jansel
Jason Ansel jansel

Mountain View, CA

@Chillee
Horace He Chillee
PyTorch Intern 2019 Compilers intern 2018 @google Maintainer of @VSCodeVim Cornell CS/Math 2020
@mrry
Derek Murray mrry

San Francisco, CA

@Tixxx
TJ Xu Tixxx
DL acceleration.

Nvidia Seattle, WA

@pengwa
pengwa
Work on LLM training/inference runtime with ONNX

@Microsoft Beijing

@codemzs
M. Zeeshan Siddiqui codemzs
Software Engineer (compilers) @ Microsoft Artificial Intelligence Platform.

@Microsoft Bellevue

@postrational
Michał Karzyński postrational
Software Architect and Data Scientist at Intel

@NervanaSystems Fully Remote

@JesperChristensen89
Jesper Christensen JesperChristensen89
PhD student

ATLAS MARIDAN ApS Technical University of Denmark

@oldsui
oldsui oldsui
The world is a fine place and worth fighting for
@Yangqing
Yangqing Jia Yangqing
Startup. Former VP @alibaba. Ex-@facebook @google @BVLC. Created Caffe, @caffe2, @onnx. Co-led @pytorch 1.0. @tensorflow contributor. @ucberkeley alumni.

@leptonai Berkeley

@souptc
Tang, Cheng souptc

Microsoft Sunnyvale

@faxu
Faith Xu faxu

Microsoft Corporation

@RandyShuai
Randy RandyShuai

Microsoft Sunnyvale

@duli2012
Du Li duli2012

Microsoft Sunnyvale, CA, USA

@pranavsharma
Pranav Sharma pranavsharma
I work on ONNX Runtime (https://github.com/Microsoft/onnxruntime) and Triton (https://github.com/triton-inference-server/onnxruntime_backend).

@Microsoft Bay Area

@yuanbyu
Yuan Yu yuanbyu

Microsoft Cupertino

@mdcallag
Mark Callaghan mdcallag
https://www.linkedin.com/in/mdcallag
@alexander-fenster
Alexander Fenster alexander-fenster
I'm a generalist sofware developer in California working for Pure Storage.

Pure Storage Mountain View, CA

@yuslepukhin
Dmitri Smirnov yuslepukhin
I work on ONNXRuntime

@Microsoft