Joshua Meyer
Founding Member Of Technical Staff at ai|coustics
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJoshua Meyer is a seasoned AI leader and founder with 11 years of experience building production speech and generative-language systems across startups, NGOs, and research institutions. With a PhD in automatic speech recognition, he has shipped deployed speech models and data pipelines (notably contributing to Mozilla’s DeepSpeech and building the first public Kinyarwanda and Luganda ASR models) and co-founded Coqui, which raised venture funding and produced widely downloaded TTS models. He excels at bridging research and product—leading teams that move models from experiments into enterprise-grade APIs, simulation environments, and customer integrations. Joshua combines hands-on ML engineering (transfer learning, decoder work, deployment) with GTM and exit experience, and he’s currently focused on making AI agents work in high-fidelity simulations. Based in New York, he also advises audio-focused startups, reflecting a sustained commitment to practical, multilingual voice AI.
11 years of coding experience
5 years of employment as a software developer
The University of ArizonaExchange Student, Exchange Student at University of MünsterBachelor of Arts (BA) Liberal Arts & Sciences, Bachelor of Arts (BA) Liberal Arts & Sciences at Seton Hall University
Github Skills (15)
neural-network10
speech-to-text10
nlu10
machine-learning10
speech-recognition10
nlp10
tensorflow10
python10
mozilla-deepspeech10
documentation10
cprogramming-language9
c-language9
embedded7
text-classification4
machine-learning-models3
Programming languages (16)
Github contributions (5)
mozilla/DeepSpeech
Nov 2018 - Oct 2020
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Role in this project:
ML Engineer
ML EngineerContributions:19 reviews, 54 commits, 55 PRs in 1 year 11 months
Contributions summary:Joshua primarily contributed to the DeepSpeech project by implementing and improving features related to transfer learning and hot-word boosting within the speech-to-text engine. Their work included modifying the CTC beam search decoder, adding functionality to the Python bindings, and improving error handling. The commits also indicate a focus on improving the codebase with typo fixes and documentation updates. These changes demonstrate an understanding of model training, deployment, and the incorporation of techniques to improve the performance.
speech-recognitiontensorflowreal-timeraspberry-pion-device
snipsco/snips-nlu
Apr 2018 - Apr 2018
Snips Python library to extract meaning from text
Role in this project:Technical Writer
Technical WriterContributions:6 commits, 1 PR, 4 comments in 1 day
Contributions summary:Joshua primarily contributed to the repository by making minor edits to documentation files. Their work focused on correcting typos, improving word order, and ensuring the clarity of the text within the documentation. The modifications were made to files within the `docs/source/` directory and specifically targeted the `data_model.rst` and `tutorial.rst` files. These changes suggest a focus on enhancing the documentation's accuracy and readability.
nlupythonbotintent-classificationtext-processing
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