Joshua Lochner
Open Source Machine Learning Engineer at Hugging Face
South Africa
Summary
🤩
RockstarJoshua Lochner is an open source machine learning engineer based in South Africa with five years of experience focused on bringing state-of-the-art ML to the web. At Hugging Face he contributes to transformers.js and the main transformers repo, blending front-end engineering (UI improvements and demo site maintenance) with model work on Whisper where he fixed timestamp and word-alignment edge cases and improved unit tests. He also contributes to CLAP and Mistral model code and maintains involvement with Xenova, showing fluency across browser runtime constraints and model internals. Known for shipping practical demos and hunting subtle bugs, he makes browser-native ML both accessible and robust.
6 years of coding experience
Stackoverflow
538reputation
47kreached
5answers
1question
chat
top-5%
youtube-api
top-5%
Github Skills (31)
pytorch10
javascript10
python10
machine-learning10
javascripts10
transformer10
nlp10
web-development10
react10
youtube-api9
language-models9
css9
language-model9
deep-learning9
chat9
Programming languages (12)
Github contributions (5)
huggingface/transformers.js
Feb 2023 - Mar 2023
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Role in this project:
Front-end Developer
Front-end DeveloperContributions:59 releases, 175 reviews, 331 commits in 1 month
Contributions summary:Joshua made significant contributions to the development of the user interface, adding new features and improving the display of information. The commits reveal a focus on implementing code and fixing layout issues. The user also worked on setting up and maintaining the demo site, demonstrating expertise in web development.
browserjavascripttransformerswebml
huggingface/transformers
Jul 2020 - Mar 2025
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Role in this project:ML Engineer
ML EngineerContributions:54 reviews, 21 PRs, 34 pushes in 4 years 7 months
Contributions summary:Joshua primarily contributed to the Whisper model within the transformers repository, focusing on fixing issues related to timestamps and word-level alignment for audio. They made code changes to address timestamp generation for audio less than 30 seconds, improving code quality, and fixing unit tests. Furthermore, the user was involved in making changes to the CLAP, and Mistral models.
pythonbertspeech-recognitionstate-of-the-artflax
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