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Baptiste L.BL

Baptiste L.

AI Engineer | LLM, RAG, Agents, Training & FT

750 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Baptiste

👋 AI Engineer — LLM, Fine-Tuning & Production ML

I build AI systems end-to-end: from data pipelines and model training to production deployment. I focus on getting things to actually work and ship.
  • LLM & Generative AI — agentic workflows, RAG, tool calling, inference optimization (vLLM), secure deployments
  • Model training & fine-tuning — LoRA, custom datasets, open-source models (text & image)
  • Data pipelines — large-scale extraction, automated labeling, experiment tracking
  • Production — API design, rate limiting, monitoring (Prometheus/Grafana), CI/CD
  • Anglais

    Bilingue ou natif

  • Français

    Bilingue ou natif

Accepte de travailler sur site
Paris (jusqu’à 50 km), Lyon (jusqu’à 30 km)

Expériences

  • Nillion
    AI Research Engineer
    mars 2025 - Aujourd'hui (1 an et 3 mois)
    - Built and deployed a private LLM inference platform in production (vLLM, auth, rate limiting, load balancing, monitoring) / 2M+ tokens per month
    - Developed agentic AI workflows (RAG, tool calling, secure code execution) for real end-user products
    - Implemented privacy-preserving LoRA fine-tuning pipelines for text and image models in secure environments
    LLMs IA générative Programmation Python TensorFlow Agent IA
  • Hedge Fund (NDA)
    Lead AI Researcher
    janvier 2024 - janvier 2025 (1 an)
    Paris, France
    • Led a team of 6 to build end-to-end predictive models combining financial and text data across 10,000+10,000+ sources
    • Designed and shipped a full agentic pipeline, including custom LLM training, from scratch to production
    • Outperformed the target benchmark set by the client
    LLMs Programmation Python Agent IA Analyse de données TensorFlow
  • AI For Alpha
    AI Research Engineer
    novembre 2023 - février 2025 (1 an et 3 mois)
    - Built an end-to-end LLM pipeline to process financial documents at scale: extract structured headlines per document then classify sentiment for downstream market analysis
    - Designed the full data pipeline from large-scale text extraction and automated labeling to training and fine-tuning open-source models on 61,000+ financial headlines
    - Delivered production-ready models that outperformed the human-labeled baseline by over 2× in predictive power and became one of the company’s flagship NLP products
    LLMs Programmation Python TensorFlow Agent IA Chat GPT

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Formations

  • PhD in AI (NLP / Finance)
    CentraleSupélec - Paris Saclay University
    2024
    AI / NLP / Financial Markets
  • Data Science
    Paris Dauphine
    - Méthode d'apprentissage supervisée et non supervisée - Analyse et gestion de Big Data - Développement logiciel - Gestion Base de données

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