Position: Research engineer, Scientific advisor, developer and etc.
Category: Data Science
English level: upper
Years of experience: 11

Many years of successful experience in the development of modern software and hardware devices.
Development of new methods and algorithms for digital processing of radio signals.
Software developer, DSP developer.
I have many years of experience in scientific research, personal experience in development of mathematical methods, hardware, software, studying and modelling physical processes. 
Development of recognition methods of signals in frequency and time domains, including the use of NN, ML.
Development of mathematical models of phase methods of radio direction finding. Development algorithms and mathematical methods of radio direction finding for working in 3D.
Development of new analysis methods of OFDM signal parameters in automatic radiomonitoring systems.
Development and maintenance of geoinformation platform using different types of data: raster layers, vector layers (*.shp layers), altitude files (Shuttle radar topographic mission (SRTM)).
Working with graphics using OpenGL technology.

My area of interest is research and development in digital signal processing, pattern recognition, signal analysis. 

I have successful personal experience in development of mathematical methods, hardware, software and production of various radioelectronic devices and systems.

I developed optimization algorithms for solving 2D and 3D recognition problems.
I have a high level knowledge of linear algebra (scaling, coordinate system rotations, transfers).

I am familiar with the current direction of machine learning, including examples using the PyTorch library, TensorFlow.

I worked for many years as a designer. I used such development environments as SolidWorks, Autodesk AutoCad to develop 3D models on a professional level.

Proficiency in Matlab, Simulink, Python modeling environments.

I have experience in software development in various programming languages (Borland software products, Microsoft Visual Studio), libraries, frameworks and environments like Scikit-learn, Panda, Numpy, Tensorflow, Matplotlib , Docker, AWSPyTorch, IAR EWARM, STM32CubeMX.
interesting projects where I can apply my knowledge and skills.