About Alexandre
- Information extraction from documents
- Document OCR
- Image or text classification
- Image segmentation
- Sentiment Analysis
- Q&A
- Text data mining (topic identification / parsing / document classification)
- Anomaly detection
- Clustering
- Predictive analysis
- Data Visualization
- Dashboards
- Interfaces
- Decision support
- Scoping: needs analysis, identification of challenges, constraints, and added value through AI. Data audit.
- Establishment of a milestone-based schedule.
- Modeling using classic Machine Learning or Deep Learning depending on the case. Proof of Concept (PoC) production.
- Iterative model optimization.
- Deployment.
- Maintenance and support.
- Python
- Scikit-learn / Numpy / Scipy
- Pytorch / Tensorflow / Keras
- NLTK / YOLO / PaddleOCR
- HuggingFace / LangChain
- Git
- Docker / Kubernetes
- Flask / FastAPI
- Azure Cognitive Services / Google Cloud
French
Native or bilingual
English
Fluent
Spanish
Conversational
Experience
- Groupe HLDDevelopment of an information extraction model from client documents for a KYC project.BANKING AND INSURANCEJanuary 2024 - February 2024 (1 month)Paris, FranceExtraction of specific information obtained by mining document bundles.Technically, this project required:
- Imageclassificationto filter relevant documents.
*OCRfinetuned on the specific corpus.- Client **matching**.
- Extraction of key information using a **multimodal text + image model**.
- Validation rules.
- Deployment viaDocker
- Société Générale - CIBData ScientistBANKING AND INSURANCEOctober 2022 - Today (3 years and 8 months)Paris, France- Anomaly detection based on Graph Neural Networks- Text classification
- LotomateData ScientistSOFTWARE PUBLISHINGOctober 2023 - January 2024 (3 months)Paris, France
- Information extraction from various documents (invoices, CVs, CAF certificates, tax notices, ...) using a multimodal model (text & image) and leveraging document structure analysis (Layout Analysis).
- Automation of training by integrating the model into Wirk's microservices (connecting to the database to retrieve annotated training documents).
- Inference module to obtain predictions directly in the annotation interface.
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Education
- Engineering degree from ENSTA Paris - Specialization AIENSTA Paris2022Double diplĂŽme d'ingĂ©nieur ENSTA Paris & Institut Polytechnique de Paris en spĂ©cialitĂ© IA. Formation sur l'IA mĂȘlant thĂ©orie (MathĂ©matiques AppliquĂ©es, Optimisation, ProbabilitĂ©s et Statistiques) et la pratique (nombreux projets en Machine Learning et Deep Learning). CPGE en 2 ans : PCSI / PSI* au lycĂ©e Pierre-de-Fermat. BaccalaurĂ©at spĂ©cialitĂ© Maths avec mention TrĂšs Bien (18,2 de moyenne)
- Master 2 Data & AIInstitut Polytechnique de Paris2022Master 2 Data & IA avec une spécialisation en Machine Learning et Deep Learning. Cette formation est ponctuée de nombreux projets dont voici quelques exemples : - Classification de texte et Named Entity Recognition (NER) [NLP] - Classification et Génération d'images (GANs) [Computer Vision] - Séparation de pistes d'un morceau de musique [MIR] - Recommandation d'articles pour site de e-commerce [SystÚme de recommandation] - Apprentissage par Renforcement
Certifications
- Natural Language Processing with Attention ModelsCoursera2023
- Natural Language Processing with Classification and Vector SpacesCoursera2023