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November 2018 - May 2019 – Educational Center of HTP
Course: Data science fundamental Description: Mathematical foundations of Data Science, Machine Learning Algorithms, Neural Networks, Image recognition, Computer vision, Natural language recognition, Time series, Recommender systems
September 2019 – Deep Dive Into The Modern AI Techniques (National Research University Higher School of Economics)
Courses:
- Introduction to Deep Learning
- How to Win a Data Science Competition: Learn from Top Kagglers
- Bayesian Methods for Machine Learning
- Practical Reinforcement Learning
- Deep Learning in Computer Vision
- Natural Language Processing
- Addressing Large Hadron Collider Challenges by Machine Learning
August 2019 – Deep Learning Specialization deeplearning.ai (Coursera)
Courses:
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
May 2019 – Online non-credit course authorized by IBM and offered through Coursera
Courses:
- Advanced Machine Learning and Signal Processing
- Applied AI with Deep Learning
- Fundamentals of Scalable Data Science
2015- November 2019 – Belarusian State Agrarian Technical University
Specialization: Postgraduate student (correspondence course)
2008-2014 – Belarusian State Agrarian Technical University
Specialization: Master of technical science
November 2018 – May 2019 – Trainee, Educational Center of HTP
Project role: Researcher
Project description: In this research, we propose a deep learning based approach for speeding up the topology optimization methods. We leverage the power of deep learning methods as the efficient pixel-wise image labeling technique to perform the topology optimization as an image segmentation task.
May 2012 – present – Lecturer, Belarusian State Agrarian Technical University (BSATU)
Main responsibilities: Teach disciplines "Computer Mechanics", "CAD", "Design of agricultural machinery", "Basics of designing and testing agricultural machines", "Fundamentals of scientific research and modeling". Scientific activities.
August 2017 – March 2018 – Thermal engineer, Huawei Technologies (Minsk R&D Department)
Main responsibilities: Theoretical research of the process of heat exchange. Create the mathematical models for simulate vapor chamber and heat pipes.
July 2016 – August 2017 – Researcher, United Institute of Informatics Problems (UIIP)
Main responsibilities: Work with supercomputer systems and applications, GRID-technologies. Computer-aided engineering analysis. Geometric and finite element modeling of technical objects.
Составить список всех (важных) жизненных событий, памятных дат, достижений, периодов, которые дали приятный и неприятный опыт, и т.п. В этом конкретном случае длинных списков не бывает, бывают плохо свернутые, поэтому пакуем сюда всё подряд, а про "лишние" события можно будет промолчать позже. Список должен быть систематизирован и отсортирован таким образом, чтоб читатель быстро понял "паттерн" и мог легко ориентироваться в пространстве и времени этого резюме.