Frank Seide
Research Scientist at Facebook AI
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolFrank Seide is a research scientist and seasoned leader with decades of impact in automatic speech recognition, machine translation, and deep learning, currently contributing to Facebook AI after a long tenure at Microsoft Research. He was among the first to demonstrate the effectiveness of deep neural networks for conversational speech recognition and architected Microsoft's CNTK toolkit, bridging cutting-edge research and production-scale tooling. His work spans spoken-dialogue systems, Mandarin recognition, large-vocabulary conversational indexing and speech-to-speech translation, reflecting both breadth and product-oriented focus. Based in Seattle and trained in electrical engineering in Hamburg, he combines rigorous academic foundations with hands-on system building and team leadership across international R&D labs. An often-overlooked strength is his track record of moving research into widely used infrastructure, enabling downstream products and open-source adoption.
10 years of coding experience
27 years of employment as a software developer
Dipl.-Ing., EE, CS, Dipl.-Ing., EE, CS at Hamburg University of Technology
Stackoverflow
491reputation
12kreached
19answers
1question
Github Skills (108)
python10
windows10
deep-learning10
gpu10
compression10
gpu-acceleration10
acceleration10
numpy10
neural-network10
computer-vision10
tensor10
shell10
console10
cntk10
java10
Programming languages (8)
Github contributions (5)
frankseide/pytorch
Nov 2020 - Dec 2020
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:12 pushes, 2 branches in 23 days
pythongpu-accelerationdeep-learninggpuacceleration
frankseide/basicpython
Sep 2018 - Apr 2019
Contributions:18 pushes, 1 branch in 6 months
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