You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Neil BraunNB

Neil Braun

AI Engineer

125 €/jour
Paris, FR
0-2 ans

Délai de réponse moyen : 1h

À propos de Neil

Hi, I’m Neil! I’m currently an AI Research Intern at the National University of Singapore, where I spend my time deep-diving into the world of Large Language Models—specifically working with architectures like Llama, Mistral, and DeepSeek using MoE and LoRA. Beyond the research lab, I’m passionate about helping businesses bridge the gap between complex AI concepts and practical, high-impact tools. Whether I’m building RAG-based search engines with LangChain and FAISS or designing multimodal forecasting models in PyTorch, my focus is always on creating systems that are both technically robust and genuinely useful. I’ve lived and studied across Paris, Milan, and Singapore, which has given me a global perspective on how technology can solve diverse problems. When I'm not fine-tuning models or tutoring on blockchain, you’ll likely find me on the golf course (where I’ve learned that, much like in AI, precision and patience are everything!). I’d love to help you turn your data into something extraordinary—let’s chat about your next project!
  • Français

    Bilingue ou natif

  • Allemand

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

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

Expériences

  • NATIONAL UNIVERSITY OF SINGAPORE - MATHEXLAB
    AI Research Intern
    HIGH TECH
    mai 2025 - Aujourd'hui (1 an et 1 mois)
    Singapore
    • • Integrated MoE and LoRA modules into state-of-the-art LLMs (LLaMA, Gemma, Mistral, DeepSeek, Qwen) to specialize attention heads for nuanced financial aspect-based sentiment analysis
    • • Formulated and optimized ordinal and hybrid contrastive losses, and deployed GradNorm-based multi task balancing to stabilize and amplify cross-objective learning efficiency
    • • Enhanced ESG-focused AI pipelines by delivering more robust, interpretable, and trustworthy embeddings for greenwashing detection and financial risk assessment
    Deep Learning LLMs Python
  • TELEHOUSE PARIS
    Telecom Engineer Intern
    TÉLÉCOMMUNICATIONS
    juin 2023 - août 2023 (2 mois)
    Paris, France
    • • Automated recurring reporting workflows using Python and Excel macros, reducing manual processing time by 30%
    • • Collaborated with cross-functional teams to enhance service reliability, analyze incident patterns, and improve system uptime
    Python Git SQL

Recommandations

Soyez le premier à recommander Neil

Contribuez à la réussite de ce freelance en partageant votre expérience de collaboration avec lui.

Ces profils de freelance correspondent également à vos critères

AgathaA

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

BaptisteB

Baptiste Duhen

Fullstack developer

4.6

(4)

5

AmedA

Amed Hamou

Senior Lead Developer

4

(2)

7

AudreyA

Audrey Champion

Web developer

4.3

(3)

4

Formations

  • Master of Science
    National University of Singapore
    2026
    Master of Science
  • Master of Science
    Polytechnic of Milan
    2024
    Master of Science

Compétences

Catégories