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  • Tokyo, Japan
  • 10:53 (UTC -12:00)

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q-cheng/README.md

Qian Cheng — Machine Learning Engineer. Speech, from model to production.


Speech systems, end to end.

I build systems that understand, generate, and translate speech—from model training and evaluation
to GPU inference and production deployment.


Understand.

Multilingual ASR, large-scale data pipelines, and reliable evaluation.

Generate.

TTS and streaming speech-to-speech translation.

Scale.

Distributed training, low-latency GPU inference, benchmarking, deployment, observability, and CI/CD.


Selected work

Production speech deployment.
ASR, TTS, and speech-to-speech services with immutable images, model hydration, scaling benchmarks, and automated releases.

Waki Demo Builder.
An agent/backend pipeline that turns meeting input into validated, sandboxed mini-app demos.


Toolkit

Python · PyTorch · Go · CUDA / GPU inference · Kubernetes · Docker · GitHub Actions



Apple · Siri TTS   →   Linktivity · Backend Systems   →   Kotoba Technologies · Speech AI

M.S. in Electrical and Computer Engineering, Carnegie Mellon University
Tokyo, Japan

Get in touch ↗

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