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Asya GrechkaAG

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À propos de Asya

Machine Learning Engineer with extensive experience in computer vision and, more recently, in the fragrance industry. Recently promoted to Head of AI means leading a team, creating tech strategy, inter-team coordination, and presenting strategic results to stakeholders while continuing to build production-ready machine learning solutions. Transformed company strategy from mostly heuristic-based to learning-based. Improved performance in all significant metrics - perceptual similarity, perceptual additivity, reformulation quality, etc.
  • Anglais

    Bilingue ou natif

  • Russe

    Bilingue ou natif

  • Français

    Bilingue ou natif

  • Espagnol

    Capacité professionnelle limitée

Accepte de travailler sur site
Aix-en-Provence (jusqu’à 50 km)

Expériences

  • Moodify
    Head of AI
    CHIMIE
    septembre 2025 - Aujourd'hui (10 mois)
    Paris, France
    • • Replaced predominantly heuristic, non-learning pipelines with learning-based approaches, with a strong emphasis on data quality and data integrity.
    • • Developed a scent similarity model through ensemble learning over non-linear models, achieving substantial gains in correlation and MAE.
    • • Supervised the development of a learned scent-perception additivity model, significantly reducing MAE compared to prior heuristic approaches.
    • • Supervised the design and development of a production database, focusing on data integrity.
    Machine learning Management d'équipe Gestion de projet Développement Python
  • Moodify
    Senior AI research scientist
    CHIMIE
    janvier 2025 - septembre 2025 (8 mois)
    Paris, France
    • • Trained, evaluated and tested probabilistic models for scent similarity prediction using perceptual data.
    Machine learning Développement Python
  • Meero
    Computer Vision Engineer
    HIGH TECH
    janvier 2019 - janvier 2025 (6 ans)
    Paris, France
    • • Accepted speaker at GenAI Days 2025 on behalf of Meero, presenting the Magic Eraser feature and its underlying generative modeling pipeline.
    • • Led research and development of the Magic Eraser feature, training a custom latent diffusion in painting model with strong focus on quality and runtime (model compilation, heuristic design, and custom distillation). Became the app's #1 feature and ultimately became the key driver in the acqui sition of Meero's ProperShot team by NodalView.
    • • Led development of the Home Staging feature, training custom latent diffusion models to automat ically furnish interior scenes.
    • • Led development of the Wall Painting feature, training a custom segmentation model for wall de tection and applying a pre-trained diffusion model for realistic recoloring.
    • • Collaborated on a CIFRE PhD project involving private-data image editing, internship supervision on inpainting, and technical consulting.
    • • Developed custom super-resolution and artifact removal models based on ESRGAN.
    • • Implemented noise removal and sharpening using an FMLE-based algorithm, parallelized on CPU and GPU with CUDA.
    Machine learning Développement Python Speaker

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Formations

  • Ph.D.
    CIFRE, Meero and Sorbonne Université
    2023
    Ph.D.
  • M.Sc.
    Sorbonne Université
    2016
    M.Sc.

Catégories