Position: Computer Vision/Deep Learning engineer.
Category: Data Science
English level: fluent
Years of experience: 2.5

My researches were published in Dr. Vernadsky’s science journal "Scientist's notes" and was published in Tavrian National University's journal. I graduated from School42, Unit Factory, Kyiv.
At UNIT Factory (School 42, Kyiv) I have completed a lot of projects in С(99), that explored graphics programming, game engine development, advanced algorithms, and graphs

I have a couple of commercial projects in the Computer Vision sphere: object detection/segmentation tasks, object classification, object detection, and tracking/detection with classical approaches. I have spent a lot of time carrying the optimizations of DNN's for fast inference using the TensorRT library. I have experience in embedded development using C/C++ and the platform Arduino Nano. I had a deal with streaming technologies such as Gstreamer with NVidia accelerators and I created a few GStreamer plugins based on AI for accelerated video streaming.
 
My last position was a Technical Lead and I lead a small team of developers. Our main goal was to create a cloud-based solution for the AI project. The solution should have been scalable, flexible, and user-friendly. I used a Google Cloud Platform, FastAPI, MongoDB, Apache Kafka, Tensorflow, and a lot of 
accompanying technologies(jinja, poetry, e.t.c).

I would love to carry on using C++ and Python to work on AI projects. My ultimate goal is to develop Computer Vision.
I would be delighted to become a part of a team that is passionate about AI/ML. I believe that a friendly atmosphere and willingness to share knowledge are of utmost importance. 

I am confident that I do not want to work in web development and make it a part of my main stack, but I'm interested in web-oriented AI technologies.