Masao Someki
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolMasao Someki is a systems engineer with seven years of experience currently working at IBM Japan and pursuing machine learning studies at Carnegie Mellon University. He is a maintainer and back-end ML engineer for the widely used ESPnet end-to-end speech processing toolkit, where he has improved core audio processing, STFT configuration, and documentation for the v0.5.0 release. Based in Pittsburgh, he blends production engineering discipline from enterprise systems with hands-on research-minded experimentation in speech ML. A hobby programmer turned open-source maintainer, he focuses on robust, test-driven enhancements that improve performance and usability for the speech community. His profile reflects a practical bridge between industrial delivery at scale and advancing open research tooling.
7 years of coding experience
Carnegie Mellon University
Github Skills (5)
machine-learning10
audio-processing10
python10
documentation9
tensorflow9
Programming languages (4)
Github contributions (5)
espnet/espnet
May 2019 - Dec 2022
End-to-End Speech Processing Toolkit
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:25 reviews, 32 commits, 27 PRs in 3 years 8 months
Contributions summary:Masao primarily focused on enhancing and maintaining the codebase, incorporating the "v.0.5.0" version of the project into the existing documentation strings and code structure. They contributed to the core modules and functions by updating the audio processing unit, fixing the stft configuration and generating documents. Furthermore, the user has demonstrated proficiency in machine learning techniques by testing the performance.
speech-recognitionspeech-separationchainerspoken-language-understandingspeech-processing
Masao-Someki/espnet_onnx
Oct 2022 - Mar 2023
Onnx wrapper for espnet infrernce model
Contributions:43 commits, 81 pushes, 33 branches in 5 months
espnetonnx
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