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Neil BraunNB

Neil Braun

AI Engineer

€125/day
Paris, FR
0-2 years

Average response time: 1 hour

About 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!
  • French

    Native or bilingual

  • German

    Native or bilingual

  • English

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • NATIONAL UNIVERSITY OF SINGAPORE - MATHEXLAB
    AI Research Intern
    TECH
    May 2025 - Today (1 year and 1 month)
    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
    TELECOMMUNICATIONS
    June 2023 - August 2023 (2 months)
    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

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Education

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

Skill set

Categories