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Hadrien M.HM

Hadrien M.

Data Scientist | Machine Learning Engineer

850 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Hadrien

I'm a Machine Learning Engineer and Data Scientist with a solid background in software and AI. I co-founded Augura Space, a 5 person startup, where I build AI tools to forecast space weather. My experience spans academic research, ML model design, backend engineering and large-scale data systems, but also product strategy: shaping roadmaps, working closely with users, and turning research ideas into usable tools. I also have experience in web development and I'm comfortable working across backend and frontend to deliver integrated AI products. I enjoy making complex ideas clear; whether through hands-on training, teaching diverse audiences, or designing visually appealing tools that actually make sense to users.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

Accepte de travailler sur site
Paris (jusqu’à 10 km), Cannes (jusqu’à 30 km), Lyon (jusqu’à 10 km), Lille (jusqu’à 10 km), Marseille (jusqu’à 10 km)

Expériences

  • Augura Space
    Co-founder & CTO
    HIGH TECH
    juin 2024 - Aujourd'hui (2 ans)
    Paris, France
    Co-founded a pioneering venture project in AI-driven space weather intelligence to protect space and terrestrial assets; selected for PSL Pépite and INRIA Startup Studio program.
    - Raised €250k in funding for early-stage development through INRIA, CNES and ESA
    - Recruited and managed three early hires to accelerate R&D and product development
    - Led the technical development of the overall product portfolio of the startup
    - Built the strategic vision of Augura Space with funding partners, institutional stakeholders, and early adopters
    Start-up Gestion de projet Stratégie commerciale Recherche scientifique intelligence artificielle
  • Hi! PARIS (HEC Paris - Institut Polytechnique de Paris - Inria Saclay)
    Research Machine Learning Engineer
    CENTRES DE RECHERCHE
    octobre 2023 - novembre 2024 (1 an et 1 mois)
    Paris, France
    - Led the development of deepdespeckling, a Python library for deep learning-based radar satellite images denoising (with Emanuele Dalsasso, EPFL)
    - Implemented new estimators, CI pipeline and global refactoring for med_bench, a Python library for causal mediation analysis (with Bertrand Thirion, co-founder of scikit-learn)
    - Oversaw the Innovation Department, providing comprehensive technical support (including modeling, productization, tech stack benchmarking, and recruitment) to AI ventures from HEC Paris' Creative Destruction Lab (CDL) and École Polytechnique's incubator
    Recherche scientifique Conseil auprès de start-up intelligence artificielle Programmation Python Open Source
  • LiveRamp (NYSE : RAMP)
    Data Scientist / Software Engineer
    HIGH TECH
    février 2021 - octobre 2023 (2 ans et 8 mois)
    Paris, France
    In the analytics team which develops a retail media and revenue management platform, successfully adopted by numerous Fortune 500 CPG companies :

    - Developed the application's back-end and visualisation framework from scratch in a large scale, cloud based setting (processing terabytes of data daily for hundred of users)
    - Implemented the analytics modules of the application enabling the delivery of actionable insights from retail transaction data and marketing campaigns results (market basket analysis, shopper profiles clustering, promotion detection, sales uplift measurement)
    - Oversaw and optimized software development lifecycle: feature development, testing, and deployment
    Project Management Back-End development Big Data Data science GCP

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Formations

  • Master 2 Intelligence Artificielle, Systèmes et Données (IASD)
    Université PSL
    2020
    Joint PSL Master program between Paris-Dauphine, ENS Paris and École des Mines Paris, in partnership with Criteo. High honours
  • Master 1, Mathématiques et informatique
    Université Paris Dauphine
    2019
    Operational Research, Machine Learning, Old Fashioned AI, Relational Databases. High honours

Compétences (42)

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