Natalia Pavlovskaia-Senior Computer Vision Engineer
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Experience
Senior Computer Vision Engineer
Dandy
- Developed point cloud classification and segmentation models for dental applications.
- Designed domain adaptation techniques that improved F1 score by 0.1 on a new clinical domain.
- Worked with 3D geometric data and production-scale ML pipelines.
Deep Learning Engineer
audatic.ai
- Speech enhancement for a hearing aid using TensorFlow.
- Target speaker extraction by voice sample/direction.
- Developed speech enhancement and target speaker extraction models for hearing aids, improving speech intelligibility in noisy environments.
- Reduced model size and inference cost using quantization, NAS, and knowledge distillation for deployment on hearing-aid hardware.
Machine Learning Specialist
Giant.ai
- Developed perception systems using contrastive learning, autoencoders, and 3D pose estimation for a humanoid manipulation robot.
- Built sensor fusion pipelines robust to failures of up to 50% of available sensors.
- Developed dynamics models improving simulation fidelity and increasing manipulation success by 5%.
- Optimized robot control systems, increasing execution speed by 3.3x.
- Delivered manipulation policies with >90% success rates using reinforcement learning and behavioral cloning.
Research Scientist (Computer Vision)
Speech Technology Center
- Passive face antispoofing task.
- Data collection (academic data, scraping, crowd-sourcing).
- Deep learning model implementation and training using PyTorch.
- Moving and testing the trained models in C++ compatible format.
- Developed an end-to-end demonstration system, including model deployment and frontend integration.
- Led development of domain adaptation methods that reduced HTER by 10%.
Computer Vision Intern
Neuromation
- Developed a scalable classification system of retail products that automatically recognizes the products’ SKUs on a supermarket’s shelf.
- Image retrieval.
- Achieved classification accuracy at 96% level.
Software Testing Engineer
- Deutsche Bank, 2015–2017.
- Yandex, 2013–2015.
- OOOROLIS, 2011–2013.
- QA engineer and team lead responsible for Java-based test automation and quality assurance.
- Managed a team of 3 engineers before transitioning into machine learning and computer vision.
Junior Researcher
The Central Astronomical Observatory of the RAS at Pulkovo
Deep Learning Engineer
Freelance
- Asthma condition prediction for the patients on the next day. F1 > 0.7
- Image search and retrieval in several projects, including de-duplication of real-estate ads.
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Experienced in Research and Development, Information Technology, Quality Assurance, and Product Development.
Summary
Senior Deep Learning Engineer with 6+ years of experience in computer vision, speech processing, reinforcement learning, and point cloud analysis.
Experienced in PyTorch and TensorFlow.
Languages
Education
Higher School of Economics & Skoltech
Master, Statistical learning theory · Moscow, Russian Federation
Saint-Petersburg State University
Master, Astronomy · Saint Petersburg, Russian Federation
Statistics
Experience
Global Experience
Expertise
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