Chong Zhang
Singapore
Summary
🤩
Rockstar🎓
Top SchoolChong Zhang is an applied ML engineer based in Singapore with a decade-long R&D background in ML and AI and four years of focused industry experience. He specializes in speech recognition and model deployment, contributing practical fine-tuning and inference tooling to the popular FunASR toolkit, including multilingual UniASR support for languages like Vietnamese, Persian, Hebrew, Burmese, and Urdu. Comfortable bridging research and production, Chong has hands-on experience adjusting ASR decoding strategies, export configurations, and language-specific model adaptations. A National University of Singapore alumnus, he combines solid academic roots with a demonstrated track record of shipping reproducible, language-diverse speech solutions. Colleagues know him for pragmatic problem-solving and a knack for turning complex model configurations into reliable deployment scripts.
4 years of coding experience
National University of Singapore
German, Chinese, English
Github Skills (8)
continuous-deployment10
pytorch10
machine-learning10
parameter-tuning10
speech-recognition10
fine-tuning10
ml-deployment10
python9
Programming languages (1)
Github contributions (5)
modelscope/FunASR
Dec 2022 - Mar 2023
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Role in this project:
ML Engineer
ML EngineerContributions:9 reviews, 26 commits, 23 PRs in 2 months
Contributions summary:Chong contributed to the development of fine-tuning and inference scripts for various speech recognition models. They added scripts for UniASR models for multiple languages including Vietnamese, Persian, Hebrew, Burmese, and Urdu, indicating a focus on model deployment and adaptation. The changes include adjustments to parameters and the introduction of different decoding models, showcasing their experience with ASR model configurations and deployment. The user modified the ITN export model and setup configurations.
asrctcspeech-recognitionspeaker-verificationpunctuation
FunAudioLLM/InspireMusic
Nov 2024 - Apr 2025
InspireMusic: A Unified Framework for Music, Song, Audio Generation.
Contributions:3 reviews, 7 PRs, 172 pushes in 4 months
audio-generationaudio-processingmusic-generationpytorch
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