Anastasiia Filippova
Machine Learning Engineer at Apple
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolAnastasiia Filippova is a machine learning engineer and researcher with seven years of cross-disciplinary experience spanning deep learning, quantitative research, and neuroscience-inspired motor control. Based in Paris, she has moved from academic research roles at EPFL and the Mathis Laboratory to industry positions including a quantitative researcher in New York and recent roles at Apple, bringing both research rigor and production-focused engineering. Her background in applied mathematics and data science (MIPT, EPFL) informs a strong foundation in modeling and statistical methods, while hands-on work in adaptive motor control signals a specialty in biologically informed ML. Comfortable bridging research and product, she combines publication-grade experimental practice with the ability to ship models in industry settings.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at EPFLBachelor of Applied Mathematics and Physics, Mathematics and Computer Science, Bachelor of Applied Mathematics and Physics, Mathematics and Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
English
Github Skills (36)
pytorch10
python10
toolbox10
apple-silicon10
audio10
deep-learning10
pose-estimation10
natural-language-processing10
nlp10
contrastive-learning10
llm9
machine-learning9
multimodal9
speech-recognition9
transformer9
Programming languages (5)
Github contributions (5)
nastya236/mlx
Aug 2025 - Jun 2026
MLX: An array framework for Apple silicon
Contributions:261 pushes, 18 branches in 10 months
apple-silicon
nastya236/Step-detection-for-IMU-navigation-via-deep-learning-
Feb 2020 - May 2020
Contributions:48 commits, 47 pushes, 2 branches in 2 months
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