Bowen Shi

Member Of Technical Staff at AMI - Advanced Machine Intelligence

New York, New York, United States
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Summary

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Rockstar
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Top School
Bowen Shi is a research scientist based in New York with a decade of experience focused on audio research and machine learning, currently working at Meta. He holds a PhD in Computer Science from TTIC and a strong international engineering foundation from Shanghai Jiao Tong and ENSTA ParisTech, with summa cum laude MSc work at UPMC. Bowen’s career blends industrial research internships at Amazon and Facebook AI with academic positions across Europe and Asia, demonstrating deep expertise in signal processing and applied ML. He repeatedly moves between theory and production, translating academic ideas into scalable systems at large tech labs. A detail that distinguishes him is his sustained cross‑continental training path—mechanical/mechatronics roots through advanced CS degrees—which shapes a systems-oriented approach to audio problems.
code10 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Toyota Technological Institute at Chicago
bookDiplôme d'ingénieur Computer Science, Diplôme d'ingénieur Computer Science at ENSTA
bookMaster of Science (summa cum laude) Computer Science, Master of Science (summa cum laude) Computer Science at Pierre and Marie Curie University
bookBachelor of Science (BSc) Mecatronics, Bachelor of Science (BSc) Mecatronics at Shanghai Jiao Tong University
languagesChinese, English, French
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Github Skills (26)

pytorch10
artificial-intelligence10
python10
ai10
sequence-to-sequence10
audio9
tty8
console7
powerline7
speech7
inference7
self-supervised-learning7
tmux7
cli7
shell7

Programming languages (4)

ShellC++Jupyter NotebookPython

Github contributions (5)

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chevalierNoir/asl-iter-attn

Nov 2019 - Mar 2022

ASL Fingerspelling recognition in the wild
Contributions:6 pushes, 1 branch in 2 years 4 months
chevalierNoir/OpenASL

May 2022 - Sep 2022

A Large-Scale Open-Domain Sign Language Translation Dataset (ASL-English)
Contributions:3 commits, 6 pushes, 1 branch in 3 months
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