Position: Computer Vision Engineer
Category: Data Science
English level: fluent
Years of experience: 1.5

Most actual repositories on my GitHub (ArtemKamantsev):
ds_stack_demo - demo project with unit tests and notebooks showing peculiarities of tools popular among data scientists.
ConcurrentPointwiseRanking - my bachelor's research compares a new proposed approach to learning to rank with a
classical one.

I am keen on Olympiad programming and regularly participate in programming contests. Our team has taken part in the ICPC Southeastern Europe Regional Contest twice.
I have worked on several projects in the NLP area. 
Task: named entity recognition on OCR-ed invoices/checks/legal contracts.
Main achievements:
− Custom clustering algorithm was developed.
− Line breaking algorithm for OCR-ed documents was developed. Stability to small vertical and horizontal document folds was achieved by linear regression and moving averages.
− Application of regular expression-based rules and the Random Forest classification model overperformed the NER model from the SpaCy library.
− Two ways of interaction with the application were developed: webserver (Flask and Waitress) and AWS Lambda (created from a docker container and accessed via API Gateway)

I have finished these projects on my own with consultations and task prioritizing by the project manager. I have created tasks for some of these projects.

Also, I have worked on a project in the CV area.
Task: automatic number-plate recognition. 
Main achievements:
− Dataset has been expanded by augmentation, and data found on the Internet. The CRNN model has been trained and evaluated successfully.

On this project, I collaborated with another developer.

Before I started to work as a machine learning developer, I had been working as an android developer and as a web developer (react/node.js) for one year in each position.

My career goal is to achieve a Senior level in the Computer Vision field and to dive into the one of areas related to natural science.
I would like to work on tasks in the Computer Vision field.