Position: Machine Learning (Computer Vision) Engineer
Category: Data Science
English level: intermediate
Years of experience: 0

Have experience of several high-intensity practicums with mentors from Samsung R&D Institute Ukraine (during my B.S.).

Successfully worked with modern networks, such as:
- YOLO
- MobileNet
- Inception
- R-CNN (Fast/Mask)
- ViT/DETR
- SegNet

Also have experience of working with GAN-s.
I would divide it into 3 sections: Applied Mathematics, Computer Science, and AI. 

R, Matlab, SageMath for applied mathematics, Python and C++ for computer science, and scikit, xgboost, tensorflow, pytorch, and opencv for AI. This list, indicative of my primary toolkit, is far from exhaustive but is tailored to meet the evolving demands of today's tech landscape.

If we'd talk about projects: there are a variety of applications. Classical machine learning algorithms, neural networks, computer vision problems, computer statistics (R), soft computations, applied mathematics (dynamical systems, mathematical physics, mathematical methods in cryptography).
I would like to work on some challenging, advanced project which requires advanced knowledge in applied mathematics as well as in computer science and AI (ML/Dl/CV/soft computing).

Shortly, my B.S. title is literally "Computer Mathematics".