Célina Hanouti
ML Software Engineer at Hugging Face
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolCélina Hanouti is an ML Software Engineer based in Paris with 8 years of experience building and deploying applied machine learning solutions across industry and research. Currently a maintainer of the huggingface_hub at Hugging Face, she combines hands-on engineering with contributions to tooling that empower the wider AI community. Her background includes fine-tuning and productionizing LLMs for retrieval and information extraction at NielsenIQ and R&D on transformer-based risk assessment, image segmentation and document extraction in the insurance domain at wefox. She also brings a strong research foundation from Sorbonne Université and CEA, with publications on zero-shot learning, and early work on behavioral biometrics using deep nets. Pragmatic and community-minded, she moves models from prototype to production while prioritizing reproducible, reusable tooling.
8 years of coding experience
3 years of employment as a software developer
Master's degree (M1 & M2) Machine Learning, Master's degree (M1 & M2) Machine Learning at Sorbonne Université
French, English, Berber
Github Skills (54)
transformers10
face10
pytorch10
hub10
convolutional-neural-networks10
language-model10
python10
evaluation10
langchain10
api-client10
diffusion-models10
machine-learning10
stable-diffusion10
inference10
diffusers10
Programming languages (4)
Github contributions (5)
hanouticelina/deformable-DETR
Jan 2021 - Mar 2021
Contributions:33 commits, 2 comments, 5 issues in 1 month
hanouticelina/diffusers
Mar 2025 - Apr 2025
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Contributions:4 PRs, 82 pushes, 1 branch in 27 days
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