My main areas of expertise are - computer vision - speech processing - time series analysis I enjoy reading scientific papers to delve deeply into a topic, while also being pragmatic enough to utilize existing solutions whenever possible.

Natalia Pavlovskaia

My main areas of expertise are - computer vision - speech processing - time series analysis I enjoy reading scientific papers to delve deeply into a topic, while also being pragmatic enough to utilize existing solutions whenever possible.

Available to hire

My main areas of expertise are

  • computer vision
  • speech processing
  • time series analysis

I enjoy reading scientific papers to delve deeply into a topic, while also being pragmatic enough to utilize existing solutions whenever possible.

See more

Language

Russian
Fluent
English
Fluent
German
Advanced

Work Experience

Deep Learning Engineer at audatic.ai
November 1, 2022 - Present
Worked on speech enhancement for hearing aids using Tensorflow, including target speaker extraction, speech enhancement (denoising), and model compression techniques such as knowledge distillation and low rank factorization.
Machine Learning Specialist at Giant.ai
July 31, 2022 - July 30, 2025
Developed humanoid robot tasks like pick and place using reinforcement learning. Focused on perception with autoencoders, contrastive learning, and 3D object pose estimation achieving over 90% success rate. Implemented sensor fusion, created dynamic models improving simulation success rate by 5%, behavioral cloning with above 90% success for various tasks, and improved robot speed by 3.3 times.
Research Scientist (Computer Vision) at Speech Technology Center
April 30, 2020 - July 30, 2025
Handled passive face antispoofing tasks including data collection, deep learning model implementation and training with Pytorch, model conversion to C++ compatible format, and front-end demo creation. Led domain adaptation improving HTER by 10%.
Deep Learning Engineer at Upwork
August 1, 2018 - Present
Freelance projects including a successful asthma condition prediction model for the next day with an F1-score above 0.7.
Computer Vision Intern at Neuromation
August 31, 2018 - July 30, 2025
Developed a scalable classification system for retail products using image retrieval approach, achieving 96% classification accuracy on unseen classes.
Software Testing Engineer at Various (Deutsche Bank, Yandex, OOO ROLIS)
December 31, 2017 - July 30, 2025
Wrote tests in Java and led a team of 3 persons across Deutsche Bank, Yandex, and OOO ROLIS.
Junior Researcher at The Central Astronomical Observatory of the RAS at Pulkovo
December 31, 2010 - July 30, 2025
Conducted research in astronomy.

Education

Master at Higher School of Economics & Skoltech
January 1, 2017 - December 31, 2019
Specialist at Saint-Petersburg State University
January 1, 2004 - December 31, 2009
Master Statistical Learning Theory at Higher School of Economics & Skoltech
January 11, 2030 - August 6, 2025
Specialist in Astronomy, Graduated with Honors at Saint Petersburg State University
January 11, 2030 - August 6, 2025
Master Statistical Learning Theory at Higher School of Economics, Skoltech
January 11, 2030 - August 26, 2025
Specialist Astronomy at Saint Petersburg State University
January 11, 2030 - August 26, 2025
Specialist at Skoltech, Moscow, Russia
January 11, 2030 - October 15, 2025
Astronomy (Honors) at Saint Petersburg State University, Saint Petersburg, Russia
January 11, 2030 - October 15, 2025

Qualifications

Specialist degree in Astronomy (Honors) - Skoltech / Saint Petersburg State University
January 11, 2030 - October 15, 2025

Industry Experience

Software & Internet, Healthcare, Manufacturing, Retail, Financial Services, Professional Services, Consumer Goods, Education, Media & Entertainment

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