Skills and Qualifications
Natural Language Processing for a Book Publisher
Eksmo is one of the largest publishing houses in Eastern Europe and it needed a natural processing language project....
Neural Network Library
Our machine learning dev team developed a library for neural network construction and compiler optimization. These are...
Recognition of Air Signatures for Airsign
Our machine learning dev team developed an algorithm and a mobile application that implements biometrics according to...
Face, Sex, Age, Video Emotion Recognition System For NEC
Our machine learning development team has developed various video analytics tools to accurately identify people based...
HitFactor is a shooting app that lets users analyze their shooting technique to understand how to improve it. This is...
An application for breaking text into paragraphs for a podcast startup. Kirill undertook the task of creating a system to automatically break text up into semantic sections. Kirill used various networks of the transformer architecture as well as different variations of Bert. He implemented the facility to allow the system to split the podcast’s text into semantic pieces and a function to automatically generate a title.
A project that was required to find athletic starting signals or shots on a soundtrack. Kirill helped develop an architecture using convolutional and recurrent neural networks. He was also required to allow the system to be able to separate shots coming from other directions, which are not important.
Vehicle detection and license plate recognition
A system to solve the problem of finding traffic violations. For the solution, it was necessary to detect cars, compare and identify cars from different camera angles, find violations, and recognize license plates. The project required different OCR approaches for license plate recognition, etc.