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René Garcia Josias Mourambou DiyemaRG

René Garcia Josias Mourambou Diyema

Machine Learning | Deep Learning | Computer Vision

350 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de René Garcia Josias

👋🏽I am an Machine Learning engineer with 3 years of professional experience in Machine Learning, Deep Learning, NLP, Computer Vision and Gen AI.

🚀🚀 Passionate about the challenges of complex systems, multithreading, parallel programming and anything related to AI, I design robust, highly scalable and secure IT solutions.

👨🏽‍💻I am very active on competitive programming sites like LeetCode and HackerRank.

👨🏽‍💼During my professional career, I have worked with the following technologie and subjects:

** Machine Learning | Deep Learning | Computer Vision | NLP | Gen AI

** Python | PyTorch | TensorFlow | Keras | Scikit-Learn | JAX | ONNX

** C++ | CMake | OpenMP | AWS | GCP | Linux | Git | Docker

  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

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

Expériences

  • Nokia
    Machine Learning Engineer
    TÉLÉCOMMUNICATIONS
    mars 2026 - Aujourd'hui (3 mois)
    Working on tasks in Machine Learning, Deep Learning, Graph Neural Network, Signal Processing, and 5G/6G.
    Python TensorFlow
  • Segula Technologies
    Deep Learning Researcher
    AGENCE & SSII
    avril 2025 - septembre 2025 (5 mois)
    Paris, France
    ● Development of reduced-order models for multi-physics systems governed by nonlinear PDEs
    ● Implementation of Galerkin projection with error control and numerical convergence for nonlinear dynamical systems.
    ● Implementation and fine-tuning of deep learning architectures (Autoencoders, LSTM, GNN) for nonlinear PDEs.
    Concepts: Python, PyTorch, TensorFlow, C++, Boost, Eigen, Parallel programming.
    Python Pytorch TensorFlow C++ Parallélisme et multithreading
  • Evolukid
    Machine Learning Engineer
    AGENCE & SSII
    septembre 2023 - septembre 2024 (1 an)
    Paris, France
    ● Design of a real-time multi-modal chatbot for image interpretation and conversation analysis.
    ● Development of a multi-modal object detection system combining CNN-based diagram feature extraction and Transformer-based textual embeddings with attention mechanisms for real-time inference.
    Concepts: Python, PyTorch, TensorFlow, Transformers, C++, Text Processing, Image Processing.
    Python Pytorch TensorFlow Large Language Models C++

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Formations

  • Master's Degree
    Université Paris-Saclay
    2025
    Artificial Intelligence
  • Master's Degree
    ENS Paris-Saclay
    2025
    Artificial Intelligence

Compétences (10)

Catégories