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<aside> 🤗 HuggingFace
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<aside> <img src="/icons/arrow-right_gray.svg" alt="/icons/arrow-right_gray.svg" width="40px" /> MPhil in Machine Learning and Machine Intelligence (MLMI), University of Cambridge
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<aside> <img src="/icons/arrow-right_gray.svg" alt="/icons/arrow-right_gray.svg" width="40px" /> Master of Engineering, CentraleSupélec
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<aside> <img src="/icons/arrow-right_gray.svg" alt="/icons/arrow-right_gray.svg" width="40px" /> Classe Préparatoire PTSI/PT*, Lycée Jean-Baptiste Say
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I'm a Research Engineer based in Paris. I grew up in a small town near Disneyland Paris 🇫🇷, and I'm lucky to have traveled around the world during my academic years (love you 🇧🇷🇭🇰🇬🇧).
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<aside> <img src="/icons/laptop_gray.svg" alt="/icons/laptop_gray.svg" width="40px" /> Senior Research Engineer ILLUIN Technology, Puteaux (France) [October 2023 - Present]
• Carried document parsing projects (dev + communication) for French clients. • Maintained nAIxt (ILLUIN's AI orchestrator), and implemented SOTA models for document layout detection and document understanding. • Wrote the ColPali paper (co-first author) for efficient document retrieval. Paper accepted at ICLR 2025.
AI tasks: Document Layout Recognition, Document Parsing, Fine-tuning with LoRA, Large Language Models (LLMs), Optical Character Recognition (OCR), Retrieval Augmented Generation (RAG), Vision Language Models (VLMs)
Technologies: Angular, Docker, Document Layout Recognition, DVC, GitHub Actions, GitLab Pipelines, Google Cloud Compute (VMs), Google Cloud Storage, Helm, HuggingFace Dataset, HuggingFace Transformers, JavaScript, Kubernetes, minIO, Postman, PyPI, PyTorch, RxJS, Temporal, TypeScript
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<aside> <img src="/icons/laptop_gray.svg" alt="/icons/laptop_gray.svg" width="40px" /> Data Scientist Intern Veolia Asia, Hong Kong SAR (Hong Kong) [March 2022 - September 2022]
• Developed a TimeSeries forecasting model in Tensorflow to optimize chemical waste treatment facilities. • Analyzed water consumption data in India and developed a fraud detection model with LightGBM. • Created interactive dashboards and custom ML models for industrial process optimization.
AI tasks: Data Visualization, Fraud Detection, TimeSeries Forecasting
Technologies: lightgbm, Mermaid, plotly, sklearn, TensorFlow, Vertex AI, xgboost
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<aside> <img src="/icons/laptop_gray.svg" alt="/icons/laptop_gray.svg" width="40px" /> Data Scientist Intern TinyClues (acquired by Splio), Paris (France) [June 2021 - December 2021] • Created Periscope dashboards to monitor deployed ML models. • Developed a Hyperparameter Tuning (HPT) tool for recommendation systems using GCP, Kubeflow, and Optuna. • Migration of the data pipeline (ingestion, cleaning, preprocessing, HPT, deployment) with dbt, TensorFlow, AWS, BigQuerry (GCP) for 5 clients. Achieved +5% of Future Gini on average. • Created a data discovery and a simulated concentration tool for the DataOps team. • Developed an explainable AI tool for the company's RecSys model.
AI tasks: Data Visualization, Explainable AI (XAI), Recommendation Systems (RecSys)
Technologies: BigQuery, dbt, Kubeflow, GitHub, Optuna, Periscope, shap, SQL, Tensorflow
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