I am a Senior Research Engineer and Data Scientist with six years of experience architecting end-to-end machine learning and AI solutions. My expertise spans large language models (LLMs), computer vision, and multi-modal generative AI, allowing me to tackle complex, high-impact problems with production-ready systems. My core focus areas include: Generative Audio & Music AI: Pioneering architectures for Text-to-Song, AI voice conversion (RVC), and full-scale music generation. I train LLMs on distributed GPU clusters to compose MIDI and lyrics, supported by deep research into TTS and ASR technologies (Bark, Whisper-X) for precise audio data processing. Advanced LLMs & Vision-Language Models: Fine-tuning billion-parameter multilingual models, building robust RAG pipelines, and developing automated, agentic workflows for complex data extraction and analysis. Computer Vision & Anomaly Detection: Designing multi-modal fraud detection systems, Siamese networks, and self-improving OCR pipelines backed by synthetic data generation. I excel at translating massive datasets into strategic value—whether that means optimizing a distributed training pipeline, cleaning millions of audio tracks, or deploying scalable AI microservices. If you seek a knowledgeable professional capable of transforming complex data into innovative solutions, let's connect and build the next generation of AI.

I help brands turn ad spend into measurable growth across programmatic (DV360, Amazon DSP, The Trade Desk, Xandr), paid social (Meta Ads), paid search (Google Ads), and the analytics layer that ties it all together. With 7+ years in media and analytics most recently as Business Manager at Dentsu International I work at the intersection of campaign execution and data. That means I don't just run ads; I build the measurement framework that proves what's working.

I help businesses turn complex data into actionable insights. With 11+ years of experience in data analytics, data science, and project delivery, I specialize in SQL, Python, ETL, data pipelines, dashboard development, and large-scale data analysis. I have extensive experience designing scalable data solutions, automating workflows, and transforming raw data into meaningful business intelligence. My background in financial services has equipped me to solve complex analytical problems, improve operational efficiency, and support strategic decision-making. Whether you need data cleaning, reporting, predictive analytics, dashboard development, or end-to-end data engineering, I deliver reliable, high-quality solutions with clear communication and a strong focus on business outcomes.

Diplômé de Télécom Paris et Data Scientist, j'accompagne les entreprises dans la transformation de leurs données en outils d'aide à la décision. Au cours de mes expériences en cabinet de conseil, j'ai développé des solutions d'analyse de données, de machine learning et de modélisation statistique pour des acteurs majeurs des secteurs du FMCG, de la santé et des télécommunications. J'interviens sur l'ensemble de la chaîne de valeur : compréhension des besoins métier, préparation et analyse des données, développement de modèles, restitution des résultats et recommandations. Mes domaines d'expertise incluent notamment : • Python (Pandas, NumPy, Scikit-learn) • SQL • Analyse de données et statistiques • Machine Learning • Data visualisation • Marketing Analytics & Marketing Mix Modeling J'accorde une importance particulière à la qualité du code, à la clarté des analyses et à une communication fluide avec les équipes métier. Mon objectif est de proposer des solutions robustes, compréhensibles et directement exploitables pour répondre à vos enjeux business. N'hésitez pas à me contacter pour échanger sur votre projet.