Kun Tan
Vice President at Huawei Technologies
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolKun Tan is a networking and systems veteran with over a decade of research and industry leadership, currently serving as Vice President and Chief Architect at Huawei after a long tenure at Microsoft Research Asia. He is a rare full-stack network designer with contributions spanning application to physical layer—author of Compound TCP (shipped in Windows) and inventor of the Sora software radio platform. His recent work blends multimedia communication, transport protocols, routing, wireless MAC and software-defined radio with applied ML for speech and bio-model projects, evidenced by contributions to Microsoft’s NeuralSpeech and BioGPT codebases. Holding a PhD from Tsinghua, he combines deep theoretical roots with product-grade engineering and a track record of moving research into production-scale systems.
11 years of coding experience
11 years of employment as a software developer
Ph.D., Computer science and Engineering, Ph.D., Computer science and Engineering at Tsinghua University
English, Chinese
Github Skills (11)
speech-to-text10
pytorch10
machine-learning10
text-to-speech10
nlp10
python10
fairseq10
modeling9
trainings9
deep-learning9
inference9
Programming languages (2)
Github contributions (5)
microsoft/BioGPT
Jul 2022 - Jan 2023
Role in this project:
ML Engineer
ML EngineerContributions:14 commits, 13 PRs, 26 pushes in 5 months
Contributions summary:Kun's commits primarily involve modifications to the `src/constrained_generator.py` file, which suggests a focus on the model's generation process. The changes include the import of necessary modules, suggesting the integration of specific components or libraries. While details are limited, the user seems to be involved in adapting or refining the model's generation capabilities. Further, the commit indicates merging branch 'main', which can indicate code management or collaborative development, with other possible activities.
microsoft/NeuralSpeech
Mar 2022 - Apr 2022
Role in this project:ML Engineer
ML EngineerContributions:16 commits, 9 pushes, 2 branches in 1 month
Contributions summary:Kun implemented and integrated the LightSpeech model, a text-to-speech system, including its modules, operations, and inference pipeline. They added code for custom input processing, enabling users to generate speech from provided text. The user also updated and refactored code related to the LightSpeech model's components and utility functions. Furthermore, the user integrated the LightSpeech system, updated its features, and made the system ready for the developer's usage.
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