Ita Zaporozhets
Machine Learning Engineer at Hugging Face
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolIta Zaporozhets is a Machine Learning Engineer based in Paris, combining seven years of industry experience with rigorous AI training from Université Paris-Saclay and a BASc in Industrial Engineering from the University of Toronto. She has shipped production-grade systems at HelloFresh and contributed to tokenization features in the high-profile Hugging Face Transformers library, improving support for Llama and TikToken workflows. Currently pursuing a Master of Artificial Intelligence, she blends applied ML, data science, and automation expertise to build pragmatic solutions with social impact. Notably, her open-source work involved nuanced tokenizer fixes and integration tests—skills that translate to robust, reliable model pipelines in production.
7 years of coding experience
6 years of employment as a software developer
MVA Artificial Intelligence, MVA Artificial Intelligence at ENS Paris-SaclayMinor Artificial Intelligence, Minor Artificial Intelligence at University of TorontoMaster's degree Artificial Intelligence, Master's degree Artificial Intelligence at Université Paris-Saclay
Russian, French, English
Stackoverflow
1reputation
0reached
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Github Skills (12)
transformers10
llama10
pytorch10
machine-learning10
tokenizer10
nlp10
language-model10
python10
pre-trained-model9
testing9
transformer8
hub7
Programming languages (4)
Github contributions (5)
huggingface/transformers
May 2024 - Apr 2025
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Role in this project:
ML Engineer
ML EngineerContributions:128 reviews, 55 PRs, 348 pushes in 10 months
Contributions summary:Ita primarily contributed to the tokenization aspects of the Hugging Face Transformers library, with a focus on supporting and improving tokenizers for various language models, particularly Llama and models leveraging TikToken. Their work involved adding features like split special tokens and user-defined symbols, fixing issues related to spaces, and optimizing tokenization processes. The contributions included updating existing tests and creating new integration tests to validate the correct functionality of different tokenizer implementations.
pythonbertspeech-recognitionstate-of-the-artflax
itazap/APS360Project
Mar 2019 - Apr 2019
APS360Project
Contributions:5 PRs, 100 pushes, 1 branch in 26 days
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