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About Adéchola Emile K

Looking for an expert who can transform your data into concrete and operational AI solutions? With a PhD in Applied Mathematics, I design and deploy end-to-end AI systems: ML/DL models, LLMs, autonomous agents, RAG pipelines, and agentic architectures with LangChain.

At EDF & CNRS, I developed industrial optimization algorithms achieving a 25% performance gain in production. I also designed a J+1 electricity consumption forecasting tool now in production, as well as several generative AI projects: medical RAG chatbot, NLP fake news detection, and transformer model fine-tuning (XLNet, BERT).

What sets me apart: a dual scientific and engineering background, the ability to collaborate with business and technical teams, and a constant focus on code quality and solution reliability.

Project types: multi-agent systems, RAG, forecasting, NLP, optimization, MLOps, Full Stack AI engineer, production deployment.
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • EDF
    R&D Engineer in AI and Industrial Numerical Optimization
    ENERGY AND UTILITIES
    October 2024 - December 2025 (1 year and 2 months)
    Palaiseau, France
    Design and learning of heuristics for short-term management of electricity production portfolio (hydraulic and thermal).

    Integration of Python modules into R&D toolchains, optimization of algorithmic performance, and industrial validation of models.

    Design of a J+1 electricity consumption forecasting software for techno-economic analysis and electricity supply-demand balance.
    Python, C++, JavaScript Machine Learning Engineer Software Development Numerical Optimization Software Deployment
  • Télécom Paris
    AI and Computer Vision Engineer
    June 2024 - September 2024 (3 months)
    Palaiseau, France
    AI and computer vision engineer: development of models (GSDRUNet, CNN, YOLO, SAM) for hyperspectral image processing, optimization of training processes, and integration into optimization algorithms.
    Computer Vision Deep Learning Image Processing Model Optimization Data Collection
  • Université Paris Dauphine
    Temporary Teaching and Research Assistant
    EDUCATION AND E-LEARNING
    September 2023 - August 2024 (11 months)
    Paris, France
    Temporary Teaching and Research Assistant (ATER): teaching in applied mathematics, statistics, probability, linear algebra, numerical analysis, and Python programming. Research in applied mathematics.
    Higher Education Research and Development Tutoring

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Education

  • PhD in Applied Mathematics
    Université Paris-Dauphine
    2023
    Doctorat en mathématiques appliquées
  • Master – Artificial Intelligence, Systems, and Data
    Université Paris-Dauphine
    2024

Skill set

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