Teerapat Jenrungrot
PHD Student at Paul G. Allen School of Computer Science & Engineering
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolTeerapat Jenrungrot is a PhD student at the University of Washington and a Harvey Mudd graduate with a decade of experience at the intersection of audio, 3D/AR/VR, and computer vision. He has published and presented cutting-edge work—most notably an oral NeurIPS 2020 paper on deep learning speech separation—and built a neural speech codec (LMCodec) published at ICASSP 2023 that leverages large language models for ultra-low-rate compression. His internships at Google, Meta, Amazon, and Microsoft demonstrate a strong track record of moving research into production, from distributed training pipelines to deployed clustering algorithms. Equally comfortable with signal processing and deep learning, he combines rigorous academic methods with practical system engineering, including real-world voice separation and HRTF-based spatial audio prototypes. Based in Seattle, he focuses on bridging audio and visual modalities in immersive systems and often pursues unconventional cross-domain solutions that reuse language-model ideas for audio tasks.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of WashingtonBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Harvey Mudd College
Thai, English, Japanese
Github Skills (16)
depth-estimation9
linux8
raycast8
windows8
denoising8
coconut5
speech-enhancement4
raspberry3
interpreter2
cryptocurrency2
programming-language2
raspberry-pi2
compiler2
mathematics1
big-data1
Programming languages (4)
Github contributions (5)
mjenrungrot/musescore-dataset-generator
Jul 2018 - Apr 2023
Contributions:2 PRs, 33 pushes, 3 branches in 4 years 9 months
mjenrungrot/competitive_programming
Nov 2015 - Feb 2022
Contributions:223 pushes, 1 branch in 6 years 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.