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Daniel B.DB

Daniel B.

Ph.D. Candidate & AI Researcher

€750/day
Paris, FR
3-7 years

Average response time: 1 hour

About Daniel

Doctorant en informatique et chercheur en IA, spécialisé en machine learning, traitement du signal et data science.
En parallèle du monde académique, je pilote des projets appliqués en vision par ordinateur, analyse de données et recherche sur les réseaux sociaux, avec une solide expérience en Python, C/C++, SQL, React et en frameworks modernes de machine learning (PyTorch, Scikit-learn).
Orienté résultats, autonome et entrepreneurial, j’accompagne mes clients dans la transformation d’algorithmes avancés en solutions concrètes à fort impact opérationnel.
  • Hebrew

    Native or bilingual

  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • The Hebrew University of Jerusalem, School of Computer Science and Engineering
    Teaching Assistant: Machine Learning
    November 2025 - Today (7 months)
    Teaching Assistant: Introduction to Machine Learning
    Teaching Assistant: Introduction to Machine Learning

    Machine learning Algorithms and Data Structures
  • Jerusalem Municipality Collaboration
    AI-Driven Commercial Sign Detection System
    January 2025 - September 2025 (8 months)
    ○ Developed an AI-driven platform to detect changes in commercial signs across Jerusalem using computer vision, LLMs, and neural networks
    ○ Processed and structured a dataset of 77,000+ labeled images (2020–2024) with metadata provided by the municipality
    ○ Built CNN-based Siamese/ResNet models combined with GPT-Vision, achieving ∼90% accuracy
    ○ Delivered a POC interface for inspectors and business owners to upload images and compare against historical data
    intelligence artificielle Machine learning External API integration
  • HUJI & BGU Universities Collaboration
    Data Bank – Social Media Analytics Platform
    January 2024 - December 2024 (11 months)
    ○ Led the development of a research-focused website to analyze social media during wartime
    ○ Managed a team of two CS students and integrated data scraping from Telegram and Twitter
    ○ Collaborated with Bright Data to enhance scraping quality and infrastructure
    ○ Delivered a working platform for researchers studying social media dynamics in times of
    conflict
    Web scraping intelligence artificielle

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Education

  • Ph.D. in Computer Science
    The Hebrew University of Jerusalem, School of Computer Science and Engineering
    Ph.D. in Computer Science
  • M.Sc. in Computer Science
    The Hebrew University of Jerusalem, School of Computer Science and Engineering
    2025
    M.Sc. in Computer Science

Skill set

Categories