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Timothé WatteauTW

Timothé Watteau

Algorithm Engineer

450 €/jour
Lausanne, CH
0-2 ans

Délai de réponse moyen : 1h

À propos de Timothé

I'm an Algorithm Engineer with 1 year of experience, primarily passionate about creating user-friendly systems for complex problems using Machine Learning. I also have a great interest in software engineering and building clean, efficient systems.
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En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • Freshape
    Algorithm Engineer
    août 2025 - Aujourd'hui (10 mois)
    Lausanne, Switzerland
    • Worked on an image enhancement pipeline for embedded cameras outputs from miniature systems.
    • Developed a multimodal digital tutor prototype leveraging LLMs to assist children with homework, merging voice interaction and paper capture for personalized learning.
    Computer Vision Pytorch
  • Freshape
    Algorithm Engineer Intern
    février 2025 - juillet 2025 (5 mois)
    Lausanne, Suisse
    • Designed and delivered an image-to-vector solution turning hand-drawn sketches into professional-quality visuals, enabling users to accelerate their workflow by converting complex ideas into clear, polished illustrations.
    • Implemented GPT-Image-1 integration via the OpenAI API to power state-of-the-art image-based sketch enhancement.
    • Implemented a robust CI/CD pipeline using GitLab and Docker, for reliable, scalable, automated software deployment.
    • Engineered a custom image vectorization algorithm with fine-tuned OCR on user data and advanced color clustering, streamlining content editing and improving accessibility for end users.
    Management CI/CD Computer Vision Modèles de design Développement d'interface Front End Pytorch
  • École de Technologie Supérieure
    Machine Learning Research Intern
    septembre 2023 - février 2024 (5 mois)
    Montreal, QC, Canada
    • Designed a cutting-edge methodology for optimizing airport ground movements through Multi-Agent Reinforcement
    Learning, achieving a 5% reduction in airport taxiing emissions, utilizing PPO with custom PyTorch models (TreeLSTM).
    • Built a scalable MARL environment for optimizing speed and trajectories in real-world airport scenarios simulation.
    Pytorch Modèles de design

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Formations

  • Master of Science - Computer Science
    Université de Technologie de Belfort-Montbéliard
    2025
    Relevant coursework: Machine Learning, Deep Graph Learning, Data Science, Big Data & BI, Google Cloud Platform.
  • Master's Degree exchange
    Politecnico di Milano
    2025
    Coursework: Deep Learning, Game Theory, Quantitative Finance

Compétences

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