À propos de Badr
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Capacité professionnelle complète
Expériences
- LittleBigCodeData Scientist / ML Engineer in Research TeamCINÉMA & AUDIOVISUELoctobre 2023 - Aujourd'hui (2 ans et 8 mois)Paris, France• GenAI / NLP: Designed topic segmentation algorithm using BERT-like model; built and deployed large-scale transcription (28M+ hours) pipeline using Whisper on Airflow.• Developed a semantic search engine leveraging LLMs and embeddings over TV transcript archives; enhanced with image captioning + visual search using image encoders.• Built summarization pipeline for INA TV content using transcriptions; deployed with Airflow.• Computer Vision: Built a full pipeline for real-time stream analysis of news broadcasts: object/logo detection (YOLO), OCR, facial recognition with vector DB, face/image classification (ResNet).• Developed scene segmentation algorithms (CLIP + TransNet) to reduce compute on static frames.
- CorporamaML InternPRESSE & MÉDIASavril 2023 - septembre 2023 (5 mois)Paris, FranceEvent Detection via NER + LLM• Fine-tuned CamemBERT for Named Entity Recognition to detect companies in press articles.• Designed masked-token classification head to predict event types (layoff, M&A, etc.) from masked company names; deployed model via an internal API.
- INRAEResearch InternAGROALIMENTAIREoctobre 2022 - mars 2023 (5 mois)Rennes, FranceAdapted a ResNet model to handle multi-view images of plants for improved disease classification
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Formations
- Engineer DegreeENSAI2023Data Science & Artificial Intelligence
- CPGE MPSI/MPLycée Carnot2022Classe préparatoire aux grandes écoles d'ingénieur - spécialité Mathématiques