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Yassine B. — Mid-Level AI Researcher from Belgium

Yassine B.

Mid-Level AI Researcher

Belgium 1-2 years
Open to offersNew to Platform
Languages
EnglishFrenchArabic
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About

Yassine B. is currently an AI Research Intern at the NaDI Lab under the HERMES Programme at UNamur in Namur, Belgium, contributing to solving complex problems using large language models (LLMs). His role focuses on strategy refinement and reflection within generalized planning cases. Concurrently, Yassine holds the position of AI Trainer with Scale AI, Inc on the Outlier AI project, where he specializes in LLM evaluation, ranking, safety review, and prompt engineering, while advancing in Generative AI and data annotation using RLHF. His past role as a Data Scientist Jr. Intern at OPTECH Consulting & Engineering in Casablanca involved deploying XGBoost for fraud detection with a 96% accuracy. Yassine further demonstrated his technical prowess as a Full-Stack Web Developer intern at SEOCOM Agency, excelling in website development and SEO. Academically, he is pursuing a Master’s in Computer Science specializing in data science, and he holds a Specialized Master in Competitive & Strategic Intelligence from ESI, Rabat. He is multilingual with proficiency in French, Arabic, and English.

Experience

  • AI Research Intern - Master's Thesis

    NaDI Lab, HERMES Programme, UNamur · 2026 — Present
    Engaged in solving complex problems using LLMs with a focus on strategy refinement and reflection, specifically in a generalized planning case.

  • Marketing Team Leader (volunteer)

    AIESEC in Bruxelles ASBL (NGO) · 2024 — 2026
    Led a team of 3-5 members to plan and delegate content marketing strategies and organize events.

  • AI Trainer (remote - contractor)

    Scale AI, Inc on Outlier AI · 2024 — Present
    Involved in evaluating and ranking LLMs, conducting safety reviews, performing prompt engineering, and engaging in data annotation and RLHF.

  • Data Scientist Jr. Intern

    OPTECH Consulting & Engineering · 2020 — 2020
    Focused on fraud detection within banking and insurance systems utilizing ML models, included benchmarking candidate models and deployment of XGBoost with 96% accuracy.

  • Full-Stack Web Developer intern

    SEOCOM Agency · 2019 — 2019
    Responsible for developing a website, including copywriting and implementing search engine optimization.

  • Introductory internship

    The National Social Security Fund of Morocco (La CNSS) · 2018 — 2018
    Worked on building an insurance claims and payments management system using VBA and Access, transitioning from a legacy Excel system.

Skills & Expertise

AI and Data ScienceDescriptAI EngineerData Scientist

Education

  • MSc Computer Science, Data Science Specialization
    UNamur · — — 2026
  • Specialized Master in Competitive & Strategic Intelligence
    Ecole des Sciences de l’Information (ESI) · — — 2021
  • Professional Bachelor in Big Data Management and Analysis
    Faculty of Sciences & Technics - UH1 · — — 2020