Will Rice
Machine Learning Engineer at worbler.ai
Greater Chattanooga United States
Summary
🤩
Rockstar🎓
Top SchoolWill Rice is a Lipsync Consultant and machine learning engineer with nine years of experience turning speech and language research into production-ready systems across NLU, ASR, and TTS. He has driven on-device NLU, curated large multi‑speaker TTS datasets, and built novel speaker-generation and lip-synchronization models for consumer-facing applications. His open-source contributions include implementing TensorFlow Wav2Vec2/Hubert support and fixing CTC and SpecAugment issues in the widely used Hugging Face Transformers library. Comfortable moving between research and product, he has delivered embedded Python libraries and AutoML-ready NLU components that simplify deployment at scale. Trained in computer science with a background in generative adversarial research for subsurface imaging, he brings an unusual mix of speech-generation expertise and signal-processing rigor. Based in Greater Chattanooga, he focuses on natural language interfaces that bridge generative speech models and real-time, on-device experiences.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at UTC College of Engineering and Computer ScienceAssociate of Science - AS, Biology, General, Associate of Science - AS, Biology, General at Chattanooga State Community CollegeB.S., Multi/Interdisciplinary Studies, B.S., Multi/Interdisciplinary Studies at East Tennessee State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
model-building10
pytorch10
machine-learning10
nlp10
deep-learning10
tensorflow10
wafv210
natural-language-processing10
modeling10
model-driven10
model-driven-development10
ctc9
python9
loss9
Programming languages (11)
Github contributions (5)
huggingface/transformers
Jun 2021 - Jul 2021
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Role in this project:
ML Engineer
ML EngineerContributions:19 reviews, 6 commits, 12 PRs in 1 month
Contributions summary:Will contributed to the development of TensorFlow-based Wav2Vec2 and Hubert models within the Hugging Face Transformers library. Their work involved implementing and debugging specific layers like `TFWav2Vec2Model`, addressing SpecAugment issues, and correcting potential out-of-vocabulary errors in the models. The contributions also include adjustments to the CTC loss functionality.
pythonbertspeech-recognitionstate-of-the-artflax
will-rice/transformers
May 2021 - Sep 2021
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Contributions:4 PRs, 66 pushes, 8 branches in 4 months
pytorchnlptransformersartbert
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.