Position: Machine Learning Engineer
Category: Python
English level: upper
Years of experience: 2

Computer Vision, data generating, data processing, data labeling, processing datasets, automation of manual processes, and comprehensive experience with different deep network architectures. Taught me to learn on the fly, so unfamiliar tasks are my field of interest.
Now, I have two years of experience in the Data Engineer position, so I have a lot of experience in data processing/labeling non-tubular data - images, videos, also tubular data, etc.

My duties also included training, creating, versioning ML models, creating inference pipelines, and many relative tasks. Also automating many data preparation steps.


My machine learning experience is based on Pytorch projects, so I developed models from scratch to get an understanding of processes in the middle of it. 
I'm experienced in object detection, classification, and segmentation tasks. Last time I'm working on using and tuning generative models such as StableDiffusin for production causes, which is also my bachelor's diploma theme.

In commercial tasks, I've done the full pipeline - from collecting data to training and optimizing models.
I also made a lot of research on different tools for optimization and acceleration of development processes.
It would be a great opportunity to become a part of a production company with a great team and exciting products which I can be a part of.