Merve Noyan
Developer Advocacy Engineer at Hugging Face
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolMerve Noyan is a Developer Advocacy Engineer at Hugging Face with six years of experience building and promoting open-source ML tools from Paris. She combines hands-on ML engineering—integrating libraries like Stanza and adding image-to-text capabilities to the huggingface_hub—with clear documentation work on the Hub’s task pages and model cards. Previously she improved conversational agents and automated research pipelines, boosting chatbot NLU metrics by 20–30% through transformer adoption. Equally comfortable teaching transfer learning and MLOps in workshops as she is contributing code and docs, she blends developer outreach with substantive engineering impact. Fluent in pragmatic engineering across Python, PyTorch/TensorFlow, and MLOps stacks, she brings a researcher’s rigor to production-ready ML integrations.
6 years of coding experience
2 years of employment as a software developer
Yüksek Lisans (Master), Veri Bilimi, Yüksek Lisans (Master), Veri Bilimi at Yeditepe ÜniversitesiBachelor's degree, Industrial & Systems Engineering, Bachelor's degree, Industrial & Systems Engineering at Yeditepe UniversityLise, Almanca, Lise, Almanca at İzmir Kız Lisesi
İngilizce, German, Turkish, French
Stackoverflow
55reputation
4kreached
9answers
1question
Github Skills (26)
transformers10
pytorch10
python10
classification10
huggingface-hub10
machine-learning10
text-classification10
classify10
huggingface10
natural-language-processing10
nlp10
modeling10
documentation10
deep-learning9
computer-vision8
Programming languages (11)
Github contributions (5)
huggingface/hub-docs
Jan 2022 - Jan 2023
Docs of the Hugging Face Hub
Role in this project:
ML Engineer
ML EngineerContributions:365 reviews, 30 commits, 147 PRs in 1 year
Contributions summary:Merve primarily contributed to the documentation and task pages of the Hugging Face Hub docs repository, focused on machine learning tasks. They added and updated data for various machine learning tasks like translation, summarization, and image segmentation, including model descriptions, dataset references, and demo configurations. Furthermore, the user worked on implementing code snippets for integrating various machine-learning libraries within the documentation.
frontend-componentshostedhugging-facefrontendface
huggingface/huggingface_hub
Oct 2021 - Aug 2022
The official Python client for the Huggingface Hub.
Role in this project:ML Engineer
ML EngineerContributions:196 reviews, 125 commits, 63 PRs in 10 months
Contributions summary:Merve's contributions primarily involve integrating the Stanza library for token classification and POS tagging pipelines within the Hugging Face Hub environment. They worked on adding German, English and Turkish test cases, refining the pipeline with namespace/model_name, and made quality and style changes. The user's commits also encompass adding image-to-text capabilities and other small additions and edits. These changes improved the integration of external libraries like Stanza and added new functionality to the Hugging Face Hub.
pytorchdeep-learningmodelsmachine-learningcomputer-vision
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