- Implementation of the data pipelines and APIs for the Hugging Face Dataset Viewer that supports 500k datasets for text, audio, image and more- Integration with data tools: DuckDB, PySpark, Polars, Pandas, Dask, WebDataset and more- Open Source Development & Maintenance of the Hugging Face Datasets library: data loading, processing, streaming and more- Leading the Datasets team on the open source and platform projects- Auto-tagging of datasets: size, format, modality, compatible libraries- Work on synthetic data applications in Hugging Face Spaces: generate, modify, filter datasets- Collaborations with research labs and entities on datasets publication: AllenAI, Cohere for AI, LAION, Wikimedia, Mozilla, Nous Research, Apple, NASA, ESA and more- Support for dataset preparations: BLOOM dataset for LLM training, PDFA for OCR

- Implementation of the first version of the Hugging Face Datasets library- Addition of Deep Learning models to the Transformers library: DPR (Dense Passage Retrieval), RAG (Retrieval Augmented Generation) in collaboration with Facebook AI Research- Dense Retrieval Optimization (HSNW, IVF, quantization) on Open Domain Question Answering tasks

- Implementation of Named Entity Recognition + Linking algorithms for company names detection and disambiguation in news articles.- Work on financial articles classification, to allow users to filter financial/stock/market updates in their news feed

- Development of a Machine Learning framework to easily move ML experiments to production- Topic classification of news articles (800 topics) at scale (10M+ users, 40M+ sources)

Worked for @ParisDigitalLab partners at Innovation Factory Paris on three innovative projects:- Prototype of BCG's Data & Digital Platform :Full Stack development of a web platform that uses Big Data technologies for The Boston Consulting Group.- Data Science for RATP :Use of Machine/Deep Learning techniques to leverage daily metro data.- Mobile dev for Randstad :Prototyping of iOS applications using Augmented and Virtual Reality.

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