Ceyda Cinarel
AI Search & Rec - Data Scientist
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolCeyda Cinarel is an AI Search & Recommendation data scientist with 10 years of experience applying NLP and computer vision to real-world products, currently building Fashion AI at Kakao Style. She blends research and MLOps—moving prototypes into production—and previously drove AI initiatives at a startup and LG Electronics. An active open-source contributor, she helped expand Hugging Face's datasets hub by integrating multiple machine reading comprehension corpora (KorQuAD, AmbigQA, MKQA, Adversarial SQuAD). Comfortable with unique datasets and creative AI applications, she also participates in the Hugging Face Fellowship and Streamlit creators program. Based in Seoul and trained at Seoul National University, she enjoys experimenting with new ML libraries and tooling to solve unusual data challenges.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Master's degree at Seoul National UniversityBachelor's degree, Bachelor's degree at TOBB Ekonomi ve Teknoloji Üniversitesi
English, Turkish, Korean
Github Skills (9)
nlp10
python10
question-answering10
natural-language-processing10
datasets10
machine-learning9
json8
data-engineering8
pandas7
Programming languages (10)
Github contributions (5)
huggingface/datasets
Dec 2020 - May 2021
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Role in this project:
Data Scientist / ML Engineer
Data Scientist / ML EngineerContributions:10 reviews, 6 commits, 7 PRs in 5 months
Contributions summary:Ceyda primarily contributed to the integration and addition of various datasets within the `huggingface/datasets` repository. Their work focused on incorporating datasets related to question-answering tasks, including KorQuAD (versions 1 and 2), AmbigQA, MKQA, and Adversarial SQuAD. This involved creating dataset scripts, implementing data loading and processing functionalities, and adapting to different data formats. The user's contributions expanded the repository's coverage of NLP datasets, specifically focusing on machine reading comprehension.
ml-modelstensorflownatural-language-processingmanipulationdata-science
cceyda/common-voice-explorer
Mar 2021 - Jul 2022
Common Voice Dataset explorer
Contributions:9 commits, 2 PRs, 8 pushes in 1 year 3 months
voicedatasetcommon-voiceexplorer
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