ANAbout Ariel
Je suis diplomé de l’école d’ingénieur ISEP en spécialisation Data Science et du master Data & AI de l’Institut Polytechnique de Paris qui m’a permis d’avoir des cours à Telecom Paris et à l’école Polytechnique.
Je suis ingénieur en machine learning et en data science.
Mon expertise s’articule autour des domaines de
- Explicabilité de l’intelligence artificielle (XAI)
- Computer vision et en particulier pour le traitement et segmentation d’imageries médicales
- NLP / LLMs
J’interviens sur differentes techniques d’entrainement : supervised, semi-supervised, self-supervised, unsupervised, transfer, reinforcement
Je peux intervenir sur des modules d’IA isolés comme sur des systemes end to end, incluant backend et frontend avec les technologies :
- Python (Django, Flask, Pandas)
- Java
- C++/C
- JavaScript (React.js)
- Cloud (GCP)
French
Native or bilingual
English
Native or bilingual
German
Conversational
Can work on-site
Paris (up to 50km)
Experience
- Lavergara.comData extraction and mining for product reviewsE-COMMERCEDecember 2024 - February 2025 (2 months)Paris, FranceDeveloped a Python solution for lavergara.com to extract and normalize customer reviews from Shopify, Amazon, Trustpilot, and other platforms. Applied VADER sentiment analysis to highlight key positive/negative feedback and provide a unified view of customer satisfaction.
- Local Sports AssociationWeb DevelopmentOctober 2024 - December 2024 (2 months)Redesigned the website for a local capoeira club, integrating updated information such as class schedules, event participation, and contact details. Added functionality for uploading and viewing videos. Built the site using HTML, CSS, and JavaScript, with PHP used to handle video uploads.
- Groupe Hospitalier Paris Saint Joseph (GHPSJ)Medical Imaging, Segmentation modelsApril 2022 - October 2022 (6 months)Paris, FranceDeveloped classification (ResNet) and segmentation (UNet) models to support the diagnosis of Gougerot-Sjögren syndrome using high-resolution histological images.Collaborated closely with pathologists to understand clinical needs and translate them into model specifications and preprocessing strategies.Built custom pipelines for section isolation, color normalization, and data augmentation based on interpretability insights to enhance prediction performance.
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Education
- Master of Data ScienceInstitut Polytechnique de Paris (Telecom Paris and Ecole Polytechnique)2022Master Data AI - Dual Degree
- Engineer curriculum Data Science Major - Dual Degree ISEPIssy-les-Moulineaux2022Engineer curriculum Data Science Major - Dual Degree ISEP