Position: Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 3

- Won the Minsk-Riga Startup Train hackathon, and then founded a startup with the team
- With this startup we got into the largest Belarusian startup accelerator TechMinsk by Imaguru and successfully finished it.
- During the "School of Future CTO" was distributed to the team and we won the nomination "Best Business Negotiators"
BiQuants – Deep Learning Engineer
11.2020 - Present
	Development of an analytical system based on computer vision for one of the world's largest fast food companies. The system detected what was going on inside and outside the restaurants, counted the visitors, the time they spent in the restaurant, thereby allowing to optimize the restaurant workflow. Deep learning models developed and trained using PyTorch and DarkNet, inference pipeline build on TensorRT. In addition, I was engaged in data preparation process, and when the amount of data became too large, I began to manage a team of 4 people who are engaged in data preparation/data engineering. 

Phoenix Education & Yandex.Cloud – "School of Future CTO"
08.2020 – 09.2020
	Track – Data Science (Computer Vision). We developed a system of tracking, reidentification and classification of people in retail stores, as well as a system for determining the location of a person in space. Tracking and reidentification system works on Intel CPU in real time with the help of OpenVINO technology. Classification works with PyTorch.

BelSpaceAgency – Deep Learning Engineer
10.2018 – 10.2019
	Developing of on-device deep learning object detector and tracking on TensorFlow, which recognize objects in real-time and predicts distance to the object. Also, the optimization of the entire system for weak devices like Jetson TX1/2 or for devices with weak graphics cards that are not intended for deep learning. 

Artyline – Co-Founder & CTO
08.2018 – 11.2020
	Developing of on-device deep learning real-time object detector on TensorFlow, which recognize UX-sketches and convert them into a ready-to-use application layouts. This system works on Apple devices supporting CoreML and in real time can visualize your sketch. Besides the direct development, I am also a product manager in a team with iOS developers, Q&A Engineer and UX/UI Designer.