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Miaohang HuMH

Miaohang Hu

Applied Mathematics Engineer

490 €/jour
Bussy-Saint-Georges, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Miaohang

Multidisciplinary engineer with expertise in algorithm development, AI, andgeospatial systems, from theory to field deployment. Led SKIPPER NDT’sChina launch as Country CEO, securing major B2B deals and exceedingsales goals. Proven ability to bridge deep tech with strategic executionacross UAV remote sensing, sensor fusion (GNSS/IMU), infrastructuremonitoring, and geophysics.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

  • Chinois

    Bilingue ou natif

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • SKIPPER NDT
    China Country CEO
    décembre 2024 - Aujourd'hui (1 an et 6 mois)
    Leading commercial expansion in China for a drone-based pipeline inspection company. Achieved €50k in sales within just 3 months, exceeding quarterly targets. Complete management of trade shows (preparation, setup, participation, results analysis). B2B client relationship development and complex commercial negotiations. Creation of multilingual technical documentation, sales presentations, and strategic market analysis for the oil & gas industry.
    Gestion de projet Communication
  • SKIPPER NDT
    Applied Mathematics Engineer
    février 2020 - Aujourd'hui (6 ans et 4 mois)
    Algorithmic Research & Development: Design and implementation of multi-sensor fusion algorithms (Extended Kalman Filters, Madgwick, Mahony) for high-precision attitude estimation. Development of proprietary magnetometer calibration algorithms using ellipsoidal fitting and geomagnetic inversion algorithms for geophysical applications. Architecture of GPS/GNSS processing pipelines with adaptive denoising and systematic error correction.
  • NDT
    Applied Mathematics Engineer
    février 2020 - Aujourd'hui (6 ans et 4 mois)
    Computational Optimization: Implementation of metaheuristic algorithms (genetic algorithms, particle swarms) for multi-objective optimization. Algorithmic refactoring with temporal complexity reduction and memory optimization (up to 40% system resource reduction). Development of self-adaptive solutions for critical industrial process automation.

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Formations

  • Master's Degree (M2)
    Pierre and Marie Curie University
    2019
    Master's Degree (M2)

Compétences

Catégories