Jee-weon Jung
Senior Research Scientist at Apple
Seattle, Washington, United States
Summary
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Rockstar🎓
Top SchoolJee-weon Jung is a Senior Research Scientist in Seattle with seven years of experience building ML-driven speech and audio systems, currently working at Apple after research roles at Carnegie Mellon and NAVER. He holds a PhD in Computer Science and combines deep academic rigor with practical product-focused engineering across signal processing and model integration. An active contributor to the prominent Espnet end-to-end speech toolkit, his code shows hands-on expertise in backend Python, audio/text feature engineering, and generator modules for speech workflows. His background blends research and applied development, enabling rapid prototyping of production-ready models and tooling. Notably, he pairs technical depth with experience in both corporate and academic research environments, making him effective at bridging innovation and deployment.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Business Administration - BBA, Bachelor of Business Administration - BBA at university of seqluDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at 서울시립대학교
Github Skills (8)
pytorch10
machine-learning10
audio-processing10
deep-learning10
python10
signal-processing10
machine-translation9
text-to-speech8
Programming languages (2)
Github contributions (5)
espnet/espnet
May 2022 - Mar 2025
End-to-End Speech Processing Toolkit
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:98 reviews, 83 PRs, 150 comments in 2 years 10 months
Contributions summary:Jee-weon's commits primarily focus on implementing and modifying Python code within the `espnet/espnet` repository, an End-to-End Speech Processing Toolkit. The contributions involve substantial changes to Python files, specifically related to an Avocodo Generator module and a focus on audio and text data processing. This suggests the user has been working on signal processing, and likely model development or integration with machine learning model components and also contributing towards feature engineering.
speech-recognitionspeech-separationchainerspoken-language-understandingspeech-processing
Jungjee/espnet
May 2023 - Jul 2024
End-to-End Speech Processing Toolkit
Contributions:2 reviews, 61 PRs, 276 pushes in 1 year 2 months
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