À propos de Asya
Anglais
Bilingue ou natif
Russe
Bilingue ou natif
Français
Bilingue ou natif
Espagnol
Capacité professionnelle limitée
Expériences
- MoodifyHead of AICHIMIEseptembre 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.
- MoodifySenior AI research scientistCHIMIEjanvier 2025 - septembre 2025 (8 mois)Paris, France• • Trained, evaluated and tested probabilistic models for scent similarity prediction using perceptual data.
- MeeroComputer Vision EngineerHIGH TECHjanvier 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.
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Formations
- Ph.D.CIFRE, Meero and Sorbonne Université2023Ph.D.
- M.Sc.Sorbonne Université2016M.Sc.