Anthony MOI
Software Engineer at Hugging Face
New York, New York, France
Summary
🤩
Rockstar🎓
Top SchoolAnthony MOI is a seasoned software engineer with 14 years of experience building scalable web and infrastructure systems, currently contributing at Hugging Face in New York. He rose through technical leadership roles at Hugging Face—from first employee and technical lead to Head of Infrastructure—and now focuses on software engineering with hands-on impact. Anthony blends full-stack development and systems engineering, shipping UI features (notably for the Mongoku MongoDB GUI) and high-performance ML tooling such as fast tokenizers for the widely used Hugging Face Transformers library. He has deep operational experience designing and running large distributed systems, having managed multi-shard databases and large EC2/RDS fleets at startups that scaled to acquisition. Passionate about new technologies, he pairs product-minded engineering with a knack for performance and developer experience improvements that are not always visible in user-facing metrics.
14 years of coding experience
9 years of employment as a software developer
EFREI - Grande école du numérique
French, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (32)
transformers10
tokenize10
python10
typescript10
machine-learning10
tokenizer10
natural-language-processing10
typescript-types10
nlp10
typescripts10
angular10
bert9
nodejs9
gpt9
api8
Programming languages (7)
Github contributions (5)
huggingface/Mongoku
Feb 2018 - Jul 2019
🔥The Web-scale GUI for MongoDB
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 releases, 2 reviews, 107 commits in 1 year 5 months
Contributions summary:Anthony primarily worked on implementing and improving the user interface and backend logic for the MongoDB GUI. Their contributions include creating and modifying Angular components, routing, and database interactions. They also implemented search functionalities, error handling, and enhanced the application's design with features such as theme switching and document editing capabilities.
adminadministrationmongonode-mongodbscale
huggingface/transformers
Jul 2019 - Feb 2021
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Role in this project:ML Engineer
ML EngineerContributions:15 reviews, 25 commits, 16 PRs in 1 year 6 months
Contributions summary:Anthony's contributions primarily involved the implementation of "Fast" tokenizers for the Hugging Face Transformers library. This included creating `FastPreTrainedTokenizer`, `GPT2TokenizerFast`, and `BertTokenizerFast`, and integrating them with the existing tokenizer framework. The user also added tests to validate the functionality of these fast tokenizers, showcasing a focus on performance and efficiency improvements for tokenization tasks within the library. Furthermore, the user updated the tokenizers version to 0.7.0 and beyond, integrating the latest features.
pythonbertspeech-recognitionstate-of-the-artflax
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