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.
Industry experience
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Experienced in Information Technology, Banking and Finance, Healthcare, Space Exploration, and Manufacturing.
Business area experience
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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
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Natalia speaks the following languages: Russian (Native), English (Advanced), German (Intermediate).
Natalia has at least 16 years of experience. During this time, Natalia has worked in at least 7 different roles and for 6 different companies. The average length of individual experience is 2 years and 3 months. Note that Natalia may not have shared all experience and actually has more experience.
Based on recent experience, Natalia would be well-suited for roles such as: Senior Computer Vision Engineer, Deep Learning Engineer, Machine Learning Specialist.
Natalia's most recent position is Senior Computer Vision Engineer at Dandy.
In recent years, Natalia has worked for Dandy, audatic.ai, and Giant.ai.
Natalia is most experienced in industries like Information Technology, Banking and Finance, and Healthcare. Natalia also has some experience in Space Exploration, Manufacturing, and Retail.
Natalia is most experienced in business areas like Research and Development, Information Technology, and Quality Assurance. Natalia also has some experience in Product Development.
Natalia has recently worked in industries like Healthcare, Information Technology, and Manufacturing.
Natalia has recently worked in business areas like Information Technology, Product Development, and Research and Development.
Natalia holds a Master from Higher School of Economics & Skoltech and a Master from Saint-Petersburg State University.
Natalia is immediately available for suitable projects.
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